Prompt Engineer Jobs in Bangalore.
All active Prompt Engineer roles based in Bangalore.
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Introduction
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?
At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.
And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.
Job Summary
The Principal Applied AI Engineer will lead the development of internal AI capabilities that empower teams across Poppulo to work faster, smarter, and securely. This role partners with business leaders, engineers, and IT teams to identify high-value opportunities for AI and translate them into practical solutions including GPT assistants, AI agents, and automated workflows while protecting company data, customer trust, and regulatory compliance.
Reporting to the Chief Information Security Officer, this position focuses on driving internal AI innovation effectively and safely across the organization.
The ideal candidate combines strong AI skills & security engineering with a passion for turning cutting-edge AI capabilities into real outcomes.
Primary Responsibilities
- Define the technical direction and implementation standards for internal AI solutions, ensuring consistent, secure, and scalable adoption across teams.
- Provide technical leadership across internal AI initiatives by evaluating solution approaches, guiding technical decisions, and balancing business value, feasibility, and risk.
- Lead the design and deployment of internal AI solutions such as GPT assistants, AI agents, integrations, and automated workflows.
- Implement technical controls, monitoring, and safeguards for AI-enabled systems.
- Develop integrations between AI systems and enterprise platforms including internal tools, knowledge bases, and business applications.
- Partner with business teams to identify and deliver AI solutions that improve productivity and operational efficiency.
- Work with Security, Privacy, and Legal teams to ensure AI solutions align with internal policies, compliance requirements, and regulatory standards.
- Collaborate with IT, Engineering, and DevOps teams to ensure AI solutions are reliable, secure, and scalable.
Leadership Responsibilities
Although this role is an individual contributor, the Principal Applied AI Engineer will:
- Be a technical advisor to the CISO and business leaders on AI capabilities and risks.
- Encourage experimentation and innovation while ensuring AI solutions are deployed with appropriate safeguards.
- Foster cross-functional collaboration between IT, Security, Engineering, Product Development, and business units.
Qualifications
- 8+ years of experience in AI engineering, or machine learning engineering.
- Hands-on experience designing and implementing AI security controls and guardrails, including mitigation of prompt injection, data exfiltration risks, output validation, monitoring and access control for AI systems.
- Experience designing and deploying AI assistants, GPT-based tools, or agent-driven workflows integrated with enterprise systems or internal data.
- Strong experience securing and integrating APIs, MCP, automation frameworks, and enterprise systems.
- Experience working with AI model platforms or APIs such as OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, or similar technologies.
- Experience building systems within cloud environments (AWS, Azure, or GCP).
- Ability to translate business requirements into scalable AI solutions while considering speed, security, reliability, and enterprise operational needs.
Who We Are
We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
We live the Poppulo values each day, as they are key to everything we do.
- Bring Your Best Self
We show up authentically, are self-aware and always strive to be better. - See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Ready to apply?
Apply to Poppulo
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Manager, Machine Learning Engineering. You will be responsible for building and maintaining large-scale distributed systems that power our entire ML pipeline, from data collection to real-time serving. You'll solve complex real-world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
- Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support
- Solve complex real-world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management, and product engineering teams
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 5+ years of experience as a Software Engineer or ML Engineer
- Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
- Experience with researching newer techniques, and innovating for building ML based solutions
- Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
- Deep expertise with cloud infrastructure (AWS)
What Will Make You Stand Out (Preferred Qualifications)
- Proven track record of designing, building and shipping end-end applications at scale
- Experience identifying and solving problems in data using machine learning systems
- Familiarity with multi-agent systems, agent architectures, prompt engineering and SOTA AI frameworks
#LI-Hybrid #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Senior Engg. Manager - Data + AI.
You will be responsible for designing and developing large scale ML Systems that analyze massive volumes of network data to detect anomalies, threats, and patterns in near real-time. You’ll solve complex real-world business problems by partnering closely with data architects and product teams to deliver impactful automation and intelligence, including the design and orchestration of specialized autonomous agents.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the full ML lifecycle, including data collection, feature engineering, and Agentic AI components like agent workflows and real-time serving
- Solve complex business problems such as threat detection by collaborating with data architects and product teams to build multi-agent solutions that automate analysis and decisioning
- Partner with cross-functional teams to assess requirements, manage scheduling, and lead the development and debugging of agent-based systems
- Support the rollout and monitoring plans for production-grade ML systems to ensure performance, observability, and scalability
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 5+ years of experience as an AI-ML Engineer with technical proficiency in Java, Springboot, Python, and PyTorch or TensorFlow
- Proven experience writing high-performance queries for large-scale analytics platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery, including partitioning-aware patterns
- Deep expertise in designing and deploying anomaly detection using tree-based models, statistical techniques, and streaming ML approaches
- Hands-on experience developing multi-agent orchestration, agent-to-agent communications, and autonomous decision-making workflows
- Strong technical background with distributed infrastructure and public cloud platforms like Azure, GCP, or AWS
What Will Make You Stand Out (Preferred Qualifications)
- A track record of shipping end-to-end applications at scale that process billions of events
- Willingness to work across the full spectrum of Big Data and AI-based solutions
- Hands-on experience with SOTA AI frameworks, prompt engineering, and complex agent architectures
#LI-Bangalore #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Ready to apply?
Apply to Zscaler
Senior Application Security Engineer
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We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.
Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.
This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.
Key Responsibilities:
Threat Modeling & Security Validation
- Conduct threat modeling and security reviews for distributed cloud-native systems.
- Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
- Participate in incident response exercises and red/blue team simulations.
- Assess third-party libraries, APIs, and vendor integrations for security compliance.
Embedding Security into the SDLC
- Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
- Review architecture and design documents to identify and mitigate risks early.
- Contribute to security automation initiatives and tooling to improve developer velocity.
- Support security checkpoints in release and deployment processes.
Emerging Threat Monitoring & Proactive Defense
- Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
- Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
- Support investigations and post-incident reviews to strengthen detection and prevention capabilities.
Security Awareness & Policy Implementation
- Advocate secure coding and best practices through code reviews, workshops, and documentation.
- Contribute to internal security standards and playbooks.
- Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.
What You Need to Succeed
- Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
- 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
- Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
- Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
- Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
- Solid collaboration and communication skills with cross-functional teams.
Nice to Have
- Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
- Experience with automation frameworks and scripting for security testing.
- Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)
WHO WE ARE
Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.
Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
ZETA IN THE NEWS!
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Apply to Zeta GlobalToast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.
This is a hybrid role with 2 days per week in the Bengaluru office.
A day in the life (Responsibilities)
- Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
- Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
- Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
- Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
- Write high-quality, well-tested code and participate in design and code reviews
- Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
- Contribute to the team's adoption of agentic development practices and tooling
- Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.
What you'll need to thrive (Requirements)
- Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
- Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
- Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
- Strong foundation in Java, Kotlin, or another object-oriented language
- Experience with distributed systems, REST APIs, and cloud-native infrastructure
- Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions
What will help you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
#LI-HYBRID
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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Apply to Toast
Senior Business Systems Engineer (Hybrid in Bangalore)
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For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.
Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.
This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.
You Will:
- Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
- Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
- Refactor and enhance legacy integration logic to align with modern architecture standards
- Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
- Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
- Participate in a shared production support rotation, resolving critical integration and data pipeline issues
- Provide technical mentorship to junior engineers, especially on high-complexity initiatives
- Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
- Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
- Contribute to evolving team SOPs, architecture standards, and shared development libraries
- Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking
You Have:
- BS in Computer Science, related field, or equivalent industry experience
- 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
- Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
- Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
- Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
- Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
- Experience with managing infrastructure as code (Terraform, CloudFormation)
- Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
- Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
- Excellent collaboration and communication skills in a distributed, global team setting
- Confidence navigating production environments, owning critical issue resolution from end to end
- Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
- Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
- Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
- The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
- Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc.
- Familiar with prompt engineering / Generative AI for code generation is preferred
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Ready to apply?
Apply to Smartsheet
Senior Full-Stack Machine Learning Engineer (GenAI / Agentic Systems)
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Introduction:
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?
At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.
And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.
The Opportunity
We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you.
At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.
This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.
As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.
Key Responsibilities
- Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
- Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
- Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps
- Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences.
- Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
- Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
- Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
- Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures.
Technical Skills / Competencies
- Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.)
- Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.
- Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
- MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP.
- Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).
- Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.
- Team management: Experience in guiding teams to deliver high-impact solutions.
- Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.
Education & Experience
- Master’s or PhD in AI/ML or a related field
- At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.
Why Us?
- An excellent workplace culture
- Competitive salary
- Company performance-related bonus
- Medical insurance
- Flexible working hours
- Educational assistance
- In-house soft skills training
Who We Are
We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
We live the Poppulo values each day, as they are key to everything we do.
- Bring Your Best Self
We show up authentically, are self-aware and always strive to be better. - See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Ready to apply?
Apply to Poppulo
Senior Full-Stack Machine Learning Engineer (GenAI / Agentic Systems)
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Introduction:
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?
At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.
And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.
The Opportunity
We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you.
At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.
This role is pivotal to the success of our AI team. It is the backbone of our ML initiatives. This role bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.
As a Sr. Full-Stack Machine Learning (ML) Engineer, you be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas, including the design and deployment of agentic AI systems that can reason, plan, and act autonomously within real-world product constraints. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.
Key Responsibilities
- Own end-to-end delivery of AI features across model, backend, APIs, UI integration, deployment, monitoring, and iteration in production
- Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap, including agentic AI solutions that orchestrate LLMs, tools, and workflows to solve multi-step problems autonomously.
- Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation. Incl. MLOps
- Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI& agenticAI architectures into innovative, practical solutions that transform customer experiences.
- Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
- Optimise Model and system performance: Fine-tune, optimise training and inference performances, including latency, cost, and reliability trade-offs in agent-based and LLM-driven systems.
- Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
- Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML, with a strong awareness of advances in agentic systems, autonomous workflows, and multi-agent architectures.
Technical Skills / Competencies
- Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.)
- Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.
- Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages, including frameworks and tools commonly used for building and orchestrating AI agents.
- MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP.
- Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).
- Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.
- Team management: Experience in guiding teams to deliver high-impact solutions.
- Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.
Education & Experience
- Master’s or PhD in AI/ML or a related field
- At least 6+ years of experience building software or AI systems, including 1–3 years working with LLMs, generative AI, or AI agent architectures.
Why Us?
- An excellent workplace culture
- Competitive salary
- Company performance-related bonus
- Medical insurance
- Flexible working hours
- Educational assistance
- In-house soft skills training
Who We Are
We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
We live the Poppulo values each day, as they are key to everything we do.
- Bring Your Best Self
We show up authentically, are self-aware and always strive to be better. - See it. Own it. Solve it.
We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. - Together We’re Better
We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, the UK and India.
Poppulo is an equal opportunity employer.
We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy.
Ready to apply?
Apply to Poppulo
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
The Role:
- As an Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
The work you’ll do:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Applied AI Solution Engineer stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Solution Engineers specialize in domains (e.g. supply chain) and industries
The qualifications you need:
- 3-5 years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.
As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.
A day in the life (Responsibilities)
- Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
- Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
- Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
- Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
- Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
- Mentor engineers through code reviews, architecture discussions, and pairing sessions
- Partner with product and platform teams to define and expand the AI Foundations roadmap
What you'll need to thrive (Requirements)
- 8+ years of experience designing and implementing scalable backend services
- Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
- Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
- Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
- Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
- Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
- Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
- Experience with distributed systems, API design, and cloud-native infrastructure
- Strong customer empathy and the ability to translate developer pain points into platform solutions
What will help you stand out
- Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
- Experience with machine learning concepts, model evaluation, or ML infrastructure
- Experience building developer experience platforms, internal tooling, or API gateways
- Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)
This is a hybrid role with 2 days per week in the Bengaluru office
AI at Toast
At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.
Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
How Toast Uses AI in its Hiring Process
Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring
Diversity, Equity, and Inclusion is Baked into our Recipe for Success
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to Toast
Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.
Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.
About the Role
🤖 Power Groupon’s Next Chapter with AI-Driven Innovation
Are you a hands-on technical leader ready to shape the next generation of B2B platforms? Join Groupon at a pivotal moment as we transform our business with an aggressive AI-first strategy and modern technology stack. As our new Backend Engineer for Deal Management, you will drive the architecture, development, and impact of systems that empower local businesses worldwide—right from the ground up.
Key Responsibilities:
- Deliver complex technical initiatives independently within high-availability, mission-critical systems.
- Lead technical reviews and contribute to architectural decisions, specifically driving TypeScript/Node.js migrations.
- Champion AI-assisted development by using tools like Cursor and Claude hands-on; mentor teammates on effective practices and prompt engineering.
- Communicate technical trade-offs clearly to both technical and non-technical stakeholders to ensure alignment on roadmap priorities.
- Own operational excellence by maintaining and improving SLOs, observability, and comprehensive documentation for your areas of ownership.
Key Requirements:
- 6+ years of software engineering experience with deep proficiency in production-grade TypeScript, Node.js
- Distributed systems expertise in high-traffic environments, including API design, monitoring, and advanced debugging.
- AI-Native workflow: Hands-on experience integrating AI coding tools (e.g., Cursor, Claude) into your daily development cycle.
- Strong communication skills and a proven ability to drive cross-functional collaboration.
- Set engineering quality bars by driving best practices around code reviews, testing strategy, security, and performance, ensuring long-term maintainability and scalability of the platform.
Nice to Have:
- Experience scaling E-commerce or marketplace platforms.
- A background in Java to support modernization and refactoring projects will be considered.
- Open source contributions or practical experience with AI/ML integration.
- Experience owning systems end-to-end, including design, development, rollout, and post-production support in fast-moving environments.
- Strong fundamentals in data modeling, system performance optimization, and resilience patterns.
- Prior experience influencing technical direction beyond your immediate team (RFCs, design docs, tech talks, or migration leadership).
What Success Looks Like:
- Independence: Delivering high-quality, well-tested features with minimal guidance.
- Architectural Impact: Active participation in design reviews that tangibly improve team-wide technical solutions.
- Mentorship: Effective coaching of junior engineers with a measurable impact on their technical growth.
- Risk Management: Maintaining clear documentation and proactively identifying risks before they impact the platform.
We Are Interested In:
Engineers who take full technical ownership, embrace AI tooling in their daily work, and deliver reliable systems while growing their impact across the team. We seek a candidate who can balance high-stakes stability with the speed of modern transformation.
Groupon is an AI-First Company
We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here.
Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.
Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers
Ready to apply?
Apply to GrouponAbout EarnIn
As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
POSITION SUMMARY
EarnIn is seeking a Platform Engineer to help with strategic design, automation, and optimization of our cloud infrastructure. This role involves innovation in cloud operations, enabling rapid development and scaling solutions across teams and systems. This is an impactful role within the organization, designed for those who excel at critically evaluating the needs of a rapidly growing company and at anticipating and solving cloud challenges at scale.
This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.WHAT YOU'LL DO
- AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.
- Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
- Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.
- Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.
- Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.
- Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.
- Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.
WHAT WE'RE LOOKING FOR
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.
- Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).
- Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.
- Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.
- Strong coding skills in Go and/or Python, treating infrastructure as software.
- Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.
- Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, "can an AI agent do this instead of a human?"
- Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus
- Experience with service mesh (e.g., Linkerd) and traffic management patterns.
- Hands-on contributions to developer productivity insights and observability for cost-aware engineering decisions.
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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Senior Integration & Automation Engineer
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About the role
The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.
Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.
You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.
This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.
What you'll do
- Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
- Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
- Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
- Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
- Define and enforce API governance, including:
- Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
- Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
- Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
- Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
- Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.
AI & Intelligent Automation Responsibilities
- Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
- Define safe and governed AI usage within APIs and integrations, including:
- Clear input/output contracts for AI services
- Guardrails (prompt design, validation, constraints)
- Handling of sensitive data (PII/financial/HR data) in prompts and responses
- Monitoring for model performance and drift in production.
- Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.
Stakeholder, Security, and Platform Responsibilities
- Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
- Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
- Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
- Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
- Champion reuse and standardization by building and curating shared assets such as:
- Generic APIs (e.g., email, JIRA, logging, AI utility services)
- Common connectors and API client libraries
- Templates and integration catalogs
and ensuring they are adopted broadly. - Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
- Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.
Experience you'll need
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Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
- 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
- Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).
Technical Skills – API Engineering
- Deep expertise in RESTful API design and implementation, including:
- Resource modeling, URI design, and standard HTTP methods
- API‑first/contract‑first design (RAML/OpenAPI)
- Pagination, filtering, sorting, and partial responses
- Versioning strategies (URL, header, content negotiation)
- Idempotency and robust error handling patterns.
- Strong experience building secure, resilient, and scalable APIs, including:
- API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
- Rate limiting, throttling, caching, and circuit‑breaker patterns
- Timeout, retry, and backoff strategies.
- Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
- Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).
Technical Skills – Integration & Platforms
- Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
- Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
- Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
- Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
- Experience designing and implementing secure integrations, including:
- OAuth 2.0/OpenID Connect
- API keys and mutual TLS
- Role/permission models and fine‑grained authorization
- Secrets management (e.g., HashiCorp Vault, cloud KMS).
- Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
- Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
- Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
- Designing API requests and responses for AI‑backed features
- Prompt engineering and response validation
- Handling rate limits, retries, timeouts, and partial failures within integration flows.
- Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.
Soft Skills
- Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
- Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
- Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
- Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
- Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.
Preferred Qualifications
- Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
- Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
- Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
- Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
- Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
- Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
- Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
- Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.
Join Us in Securing and Accelerating the World's AI Transformation
Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.
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Inclusion @ Rubrik
At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.
Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.
Our inclusion strategy focuses on three core areas of our business and culture:
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Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
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Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
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Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.
Equal Opportunity Employer/Veterans/Disabled
Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
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Senior Staff Software Engineer ( Machine learning Platform)
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About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Why This Role Matters
This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.
What Makes This Opportunity Unique
This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue. You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models .
Responsibilities
- Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking.
- Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics).
- Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction.
- Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning.
- Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval.
- Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows.
- Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging.
- Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance.
- Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems.
- Evolve the domain graph and entity resolution; build reliable data ingestion pipelines.
- Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage.
- Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost.
- Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity.
- Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls.
- Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed.
- Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices.
Desired Skills & Experience
- 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems).
- Production experience with Python plus one of Java/Scala/Go; microservices and API design.
- MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka).
- Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS.
- Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows.
- Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting.
- Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry.
- Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns.
Preferred Mindset
- Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs.
- Thinks in systems - observability, fallback, access control are core, not afterthoughts.
- Passionate about AI - enjoys enabling real-world LLM and agentic use cases.
- Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation.
- Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience.
- Documentation and teaching: you make complex systems understandable; you uplevel teams.
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.
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AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
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At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior AI Engineer with a strong foundation in Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs) Large Language Models (LLMs). We are also looking for him to be a full-stack Engineer with hands-on experience with mobile front-end hands-on experience with mobile front-end Flutter, React-native. This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.
You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Hands on experience with mobile front-end Flutter, React-native etc.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
- Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
- Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
- Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
- Monitor and optimize service performance, reliability, and scalability in production environments.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience mobile front-end Flutter, React-native etc
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
- Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
- Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
- Strong grasp of object-oriented design, data structures, and algorithms.
Preferred Qualifications
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
- Background in building microservices or backend systems for data-rich AI/ML platforms.
- Experience with vector databases, embedding services, or semantic search integration.
- Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
- Experience in developing LLM-powered agents, copilots, or task bots.
What We Offer
- Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
- A flexible hybrid work model in our Bangalore office.
- Competitive compensation with performance-based rewards.
- A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.
Why Join Reltio?*
- Health & Wellness:
- Comprehensive Group medical insurance including your parents with additional top-up options.
- Accidental Insurance
- Life insurance
- Free online unlimited doctor consultations
- An Employee Assistance Program (EAP)
- Work-Life Balance:
- 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
- 26 weeks of maternity leave, 15 days of paternity leave
- Very unique to Reltio - 01 week of additional off as recharge week every year globally
- Support for home office setup:
- Home office setup allowance.
- Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
- No need to pack a lunch—we’ve got you covered with a free meal.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
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Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
- As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
Key Responsibilities:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Senior Applied Value Engineer specialize in domains (e.g. supply chain) and industries
Requirements:
- 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Staff AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
- As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
Key Responsibilities:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Senior Applied Value Engineers stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries
Requirements:
- 6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
The Team:
The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer - India, your primary focus will be supporting our GCC's (Global Competency Centers) across the Adopt and Expand phases of our customer value journey. This team will be a part of the Global VE CoE spearheading our mission of data-driven business transformation with our customers.You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.
The Role:
As an Applied AI Value Engineer you are pushing the envelope in solving mission-critical problems for our customers. You will be working with our most strategic customers, understanding their strategy and key challenges, and building Celonis solutions using cutting edge AI technologies of market leaders such as Microsoft and OpenAI. With Celonis’ market leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
The work you’ll do:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries
The qualifications you need:
Requirements:
- 4+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
The Role:
As an Applied Value Engineer for the Japan Market, you will solve business-critical problems for our most strategic Japanese customers. You will bridge the gap between cutting-edge AI technology and the unique business requirements of Japanese enterprises.
Working with the world’s leading Process Intelligence (PI) platform and partners like Microsoft, OpenAI, and Databricks, you will feed operational context to AI to help Japanese organizations industrialize AI and unlock real ROI. You will prototype solutions, demonstrate value to executives, and ensure successful implementation and adoption within the Japanese business ecosystem
The work you’ll do:
- AI Discovery & Solutioning (Japan Focus): Understand the specific AI strategies and challenges of Japanese customers. Translate their requirements into innovative solutions that align with local business practices.
- Hackathons & Prototyping: Rapidly build creative prototypes (LLM/Agent-based) to solve business-critical problems during customer hackathons.
- Agentic Process Transformation: Enable a fundamental shift for our customers from traditional automation to autonomous AI agents empowered by the Celonis PI Platform.
- Proof Projects: Execute end-to-end Proof-of-Value (PoV) projects, including architecture, RAG, and guardrails, ensuring compliance with enterprise data and identity frameworks.
- Cross-Border Collaboration: Work closely with the Japan-based account teams and executives to ensure project outcomes reach agreed value and adoption thresholds.
- Domain Specialization: Specialize in domains (e.g., Supply Chain, Finance) to scale knowledge across the Japan and global organizations.
The qualifications you need:
- Market Alignment: Strong willingness and commitment to work specifically for the Japan market. This includes flexibility to align with Japan Standard Time (JST) for key meetings and workshops.
- Professional Experience: 3-5 years of experience in technical pre-sales, defining AI roadmaps, and building ROI/TCO business cases.
- Technical Expertise: Deep understanding of Generative AI techniques (RAG, multi-agent orchestration, prompt engineering) and Python (LangChain, pandas, PyTorch, etc.).
- Process Knowledge: Understanding of business processes (Supply Chain, Finance, etc.) and the ability to translate high-level needs into AI use cases.
- Communication: Strong presentation skills to engage with both internal stakeholders and external Japanese enterprise executives.
- Education: Bachelor’s Degree required (Master’s in CS, Engineering, or Math preferred).
- Japan Market Experience: Previous experience working with Japanese companies as clients or partners is highly valued.
- Cultural Competency: Familiarity with Japanese business etiquette and communication styles.
- Hands-on AI implementation: Experience building agentic systems and deploying models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).
- LLM Ecosystem: Working knowledge of LangChain, LlamaIndex, or other OSS packages.
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
Ready to apply?
Apply to Celonis
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.
Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.
At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com
What is the InMobi family like?
We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.
What can we promise?
We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your ML and AI skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.
Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams. Food for your soul – free meals all days of the week, gym, or yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.
What is the team like?
At InMobi Enterprise team, we are transforming the way finance, sales, marketing, people, and legal functions operate. We’re driving transformative work across Sales, Marketing, People, and Finance with ML and Agentic AI—and we’re looking for passionate innovators to join us!
What you will be doing
We are looking for a Data Scientist who can operate at the intersection of classical machine learning, GenAI and modern agentic AI systems with a strong engineering appetite. You will build and deploy intelligent AI/ML systems that will help transform the business process across the core. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
Your responsibilities will include:
- Lead the experimentation, design and build of agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
- Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
- Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
- Support POCs/ Pilots projects to explore and validate innovative technologies and solutions in ML/AI space.
- Build and operate machine learning models on diverse, high-volume data sources for forecasting, classification and prediction.
- Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
- Design pipelines for data preparation, model training, evaluation, and deployment in collaboration with engineering counterparts.
- Define best practices for monitoring ML model performance using statistical techniques; identifying drifts, failure modes, and improvement opportunities.
- Contribute to ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
- Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
- Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
- Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.
What do we expect from you?
We are seeking candidates with deep expertise in ML and hands-on experience building GenAI and Agentic AI systems.
Skillset: AI/ML Engineering, Python, LLM, RAG, Agentic AI, MCP, REST API
You should have experience with:
- Design, build, and deploy building LLM-powered applications, chatbots, and multi-agent systems to improve efficiency, accuracy, and decision-making.
- Implement and customize GenAI and multi-agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, or similar.
- Create, refine, and maintain prompt templates, chains, and workflows.
- Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc.) for semantic search and memory.
- Classical ML and deep learning techniques across NLP, clustering, and time series.
- Proficient in deploying ML workflows/models in production system. Continuous monitoring, evaluation, and retraining of models to ensure sustained performance. Ensuring model explainability, accuracy, compliance.
- Big data processing (Spark, distributed data systems) and cloud computing.
- Designing end-to-end ML solutions—from prototype to production.
- Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
- Drive in design reviews, sprint planning, and technical discussions.
- Collaborating effectively with diverse stakeholders, including technical teams and business leaders.
- Adapting to fast-paced environments and evolving priorities with high energy and autonomy.
We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
Qualifications
- Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
- 8+ years of industry experience in ML/Data Science, with deep proficiency in Python and one or more frameworks: PyTorch, TensorFlow, Scikit-learn.
- Solid understanding of ML fundamentals, regression, tree-based models, clustering, and time series.
- Hands-on experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
- Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT-style agents.
- Expertise with algorithms in NLP, Time Series, and Deep Learning, applied on real-world datasets.
- Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
- Experience with Model Context Protocols (MCPs) — building or integrating MCP tools, servers, or capabilities.
- Comfortable working in cross-functional teams.
- Strong problem-solving and analytical skills with the ability to work in agile environments.
- Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
- Excellent communication skills with the ability to simplify complex technical concepts.
The InMobi Culture
At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.
We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!
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Sr. Security Engineer - Vulnerability Operations
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Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
Purpose of the Job :
As members of 6sense’s Security department, the Security Engineering team protects the platform across application, infrastructure, and cloud domains. The Vulnerability Operations function ensures that vulnerabilities are identified, triaged, validated, and remediated in a consistent, timely, and risk‑based manner. Senior Security Engineers work closely with Engineering, CloudOps, Product, and GRC teams to operationalize vulnerability management processes, build automation, standardize workflows, and ensure secure-by-default practices.
Responsibilities & Accountabilities :
- Ensure vulnerability management tools (e.g., Wiz, Invicti, Rapid7, GHAS, Ox) are correctly configured for appropriate coverage and accurate detection.
- Perform hands-on triage, validation, and root cause analysis of vulnerabilities across AppSec, InfraSec, and CloudSec.
- Track and report vulnerability status against SLAs, escalating to engineering owners as needed.
- Build and maintain dashboards, filters, reports, and triage scripts to support visibility and automation.
- Assist engineering teams in reproducing and remediating vulnerabilities, providing actionable guidance.
- Support the bug bounty program operations (not ownership), including validation and coordination with engineering teams.
- Conduct security reviews and threat modeling for high-risk systems or changes.
- Participate in initiatives that holistically address systemic or multi‑domain vulnerabilities.
- Contribute to development of automated security testing pipelines for validation of fixes.
- Participate in on-call or off‑hours incident response related to critical vulnerabilities and time‑sensitive patches.
- Contribute to quarterly OKRs and security engineering roadmap initiatives.
Performance Measurement :
- Understands 6sense’s product, architecture, cloud footprint, and environment in depth.
- Takes ownership of vulnerability triage and prioritization while escalating where required.
- Proactively identifies and escalates AI/ML‑related vulnerabilities or misconfigurations in systems integrating LLMs or automated decisioning.
- Meets tight deadlines and SLAs for vulnerability response and validation.
- Maintains accurate and up-to-date triage scripts, documentation, dashboards, and workflows.
- Participates in weekly 1:1s and skip levels; provides clear progress updates.
- Supports security engineers and development teams with accurate, actionable analysis.
- Effectively participates in incident response and post‑incident remediation.
Educational and Experience Requirements :
- 5+ years of experience in security engineering across vulnerability management, AppSec, CloudSec, or InfraSec.
- Experience with vulnerability tools (e.g., Wiz, Rapid7, Invicti, GHAS, SAST/DAST) and triage workflows.
- Understanding of cloud security (AWS preferred) and modern microservices architectures.
- Experience identifying and mitigating AI/ML‑related security risks, including model abuse, prompt‑injection vulnerabilities, and risks introduced by LLM‑based features.
- Experience with scripting/automation (Python, Bash, JavaScript, etc.).
- Experience working directly with engineering teams to address vulnerabilities.
- Familiarity with frameworks such as OWASP, NIST, CIS Benchmarks, MITRE ATT&CK.
- Experience with IaC security (Terraform, CloudFormation, Pulumi) preferred but not required.
Preferred Qualifications :
- Bachelor's degree in a related field
- Relevant industry certifications, such as AWS, CNCF, and GIAC are highly desirable
Competencies and Behaviors :
- Establishes strong credibility with engineering partners.
- Maintains a professional, outcome-focused demeanor.
- Advocates for vulnerability and security best practices.
- Works independently on complex triage and analysis tasks.
- Manages competing priorities effectively, escalating when appropriate.
- Communicates clearly across technical and non-technical audiences.
- Maintains accuracy, attention to detail, and documentation hygiene.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
Ready to apply?
Apply to 6sense
Sr. Security Engineer, AppSec (AI/ML Security)
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Our Mission:
6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
Senior Security Engineer – Application Security (AI Security Focus)
Reporting To: Manager, Security Engineering Function/Dept: Business Technology / Security
About the Role
You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.
Responsibilities & Accountabilities
- AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
- Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
- Threat Modeling & Red Teaming: Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems. Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
- Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring.
- Cross-Functional Collaboration: Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles.
- Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents.
- Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices.
- Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).
- Program Ownership: Design and execute quarterly OKRs for AI/ML security initiatives.
Performance Measurement
- Demonstrates deep understanding of AI/ML security risks and mitigations.
- Leads identification, triage, and management of AI/ML and application security issues.
- Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content.
- Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.
Educational and Experience Requirements
- 5+ years in information security, with significant experience in application security and AI/ML security.
- Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC. · Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
- Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins).
- Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
- Excellent communication skills.
Preferred Qualifications
- Bachelor’s degree in a related field.
- Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
- Experience working directly with software developers and data scientists to improve code/model security.
Competencies and Behaviors
- Establishes credibility among Engineering and Data Science counterparts.
- Advocates for AI/ML security best practices.
- Drives tasks to completion and maintains accuracy of information.
- Effective prioritization and escalation to management.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
Ready to apply?
Apply to 6sense
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
Role Description
- As an Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.
Key Responsibilities:
- AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
- Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
- Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
- Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
- Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
- Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries
Requirements:
- 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
- Experience in Oil & Gas industry is must.
- Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
- Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
- Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
- Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
Nice to have (big plus):
- Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
What Celonis can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
About Us:
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement:
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
Your Privacy:
Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices
By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.
Please be aware of common job offer scams, impersonators and frauds. Learn more here.
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Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Senior AI Engineer
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
Reports To
Director, NOC Delivery & Automation
What You Will Be Doing
- Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
- You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
- Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.
What You Will Bring to ChargePoint
- Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
- Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
- Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
- Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
- Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
- Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
- Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
- Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
- Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)
Requirements
- 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
- Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
- Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
- Background in computer vision, image processing, or visual transformer architectures
- Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
- Experience working with massive datasets (50TB+) and building scalable data pipelines
- Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
- Familiarity with RLHF-style preference tuning and model alignment techniques
- Experience with observability and monitoring stacks including metrics, logging, and tracing
- Certifications in Generative AI, Agentic AI, or related specialization.
Location
Bangalore, India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
Ready to apply?
Apply to ChargePoint
Senior Staff Software Engineer
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.
This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.
What You’ll Do
-
Technical Strategy & Architecture
- Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
- Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
- Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
- Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.
Engineering Execution & Excellence
- Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
- Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
- Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
- Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.
Organizational Leadership & Influence
- Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
- Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
- Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
- Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.
Mentorship & Talent Development
- Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
- Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
- Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.
Operational Ownership
- Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
- Own post-incident reviews and embed learnings into platform improvements and operational runbooks.
What You’ll Bring
- 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
- Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
- Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
- Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
- Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
- Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
- Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
- A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.
Bonus Skills
- Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity.
- Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
- Background in data protection, backup, disaster recovery, or storage infrastructure.
- Experience in platform or infrastructure engineering serving other engineering teams as internal customers.
What You’ll Get
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Private medical coverage for you and up to four dependents
- Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
#LI-KP1
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.
Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.
Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.
What you'll do
- Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.
- Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
- Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
- Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
- Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.
- Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.
- Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.
- Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
- Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.
What you'll bring
- A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.
- Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.
- AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.
- Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.
- AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.
- Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?"Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.
- Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.
- End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.
- Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.
Preferred Qualifications
- Experience with GitLab platform and CI/CD workflows
- Background in consulting, solutions engineering, or customer-facing technical roles
- Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking
- Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development
- Previous startup or high-growth company experience
- Experience mentoring or leading technical projects with junior engineers
About the team
You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.
We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Ready to apply?
Apply to GitLab
Headquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Staff Solutions Engineer
Location: Bengaluru, Karnataka (Hybrid)
Role Overview
As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation.
You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments.
It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership.
You will:
- Lead customer engagements as the technical owner for a delivery pod.
- Design and implement production-grade enterprise systems using JazzX’s platform.
- Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions.
- Partner with product, platform, and research teams across the full solution lifecycle.
- Act as the primary technical escalation point for customer deployments.
- Influence platform evolution by feeding real-world learnings back into reusable components and patterns.
- Set a high engineering bar through hands-on contribution, design leadership, and mentorship.
Key Responsibilities
Hands-On Software Engineering
- Write and review production-quality code across backend services, APIs, and orchestration layers.
- Make architectural decisions balancing scalability, performance, security, and long-term maintainability.
- Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments.
- Ensure solutions meet production standards for reliability, observability, and operational readiness.
Applied GenAI & Agentic Systems
- Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems.
- Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals.
- Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures.
- Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability.
- Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes.
- Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments.
Customer Delivery Leadership
- Lead technical execution for customer POCs, pilots, and production rollouts.
- Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems.
- Troubleshoot complex integration, data, and system issues, owning resolution end-to-end.
Staff-Level Impact
- Lead and mentor engineers within the delivery pod, providing technical direction and feedback.
- Establish and reinforce best practices for customer-facing engineering.
- Turn customer insights into reusable architectures, templates, and delivery standards.
Qualifications
Must-Have
- 9+ years of professional software engineering experience building and operating production systems.
- Strong proficiency in Python with a proven track record of writing maintainable, well-tested code.
- Experience designing and building backend services, APIs, and distributed systems.
- Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services).
- Experience leading or owning technical delivery for customer-facing projects.
- Strong understanding of system reliability, observability, and operational best practices.
- Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders.
- Willingness to travel up to 20% for key customer engagements.
Nice-to-Have
- Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance).
- Familiarity with vector databases, semantic search, or knowledge retrieval systems.
- Experience contributing to shared libraries, internal platforms, or reusable engineering components.
- Prior experience in a fast-paced startup or early-stage product environment.
Attributes We Value
- Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything.
- Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability.
- Customer Empathy: You understand enterprise constraints and design systems accordingly.
- Ownership & Accountability: You take responsibility for outcomes, not just tasks.
- Collaboration & Mentorship: You raise the bar for those around you.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Staff Solutions Engineer
Location: Bengaluru, Karnataka (Hybrid)
Role Overview
As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation.
You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments.
It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership.
You will:
- Lead customer engagements as the technical owner for a delivery pod.
- Design and implement production-grade enterprise systems using JazzX’s platform.
- Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions.
- Partner with product, platform, and research teams across the full solution lifecycle.
- Act as the primary technical escalation point for customer deployments.
- Influence platform evolution by feeding real-world learnings back into reusable components and patterns.
- Set a high engineering bar through hands-on contribution, design leadership, and mentorship.
Key Responsibilities
Hands-On Software Engineering
- Write and review production-quality code across backend services, APIs, and orchestration layers.
- Make architectural decisions balancing scalability, performance, security, and long-term maintainability.
- Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments.
- Ensure solutions meet production standards for reliability, observability, and operational readiness.
Applied GenAI & Agentic Systems
- Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems.
- Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals.
- Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures.
- Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability.
- Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes.
- Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments.
Customer Delivery Leadership
- Lead technical execution for customer POCs, pilots, and production rollouts.
- Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems.
- Troubleshoot complex integration, data, and system issues, owning resolution end-to-end.
Staff-Level Impact
- Lead and mentor engineers within the delivery pod, providing technical direction and feedback.
- Establish and reinforce best practices for customer-facing engineering.
- Turn customer insights into reusable architectures, templates, and delivery standards.
Qualifications
Must-Have
- 9+ years of professional software engineering experience building and operating production systems.
- Strong proficiency in Python with a proven track record of writing maintainable, well-tested code.
- Experience designing and building backend services, APIs, and distributed systems.
- Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services).
- Experience leading or owning technical delivery for customer-facing projects.
- Strong understanding of system reliability, observability, and operational best practices.
- Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders.
- Willingness to travel up to 20% for key customer engagements.
Nice-to-Have
- Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance).
- Familiarity with vector databases, semantic search, or knowledge retrieval systems.
- Experience contributing to shared libraries, internal platforms, or reusable engineering components.
- Prior experience in a fast-paced startup or early-stage product environment.
Attributes We Value
- Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything.
- Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability.
- Customer Empathy: You understand enterprise constraints and design systems accordingly.
- Ownership & Accountability: You take responsibility for outcomes, not just tasks.
- Collaboration & Mentorship: You raise the bar for those around you.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Staff Solutions Engineer
Location: Bengaluru, Karnataka (Hybrid)
Role Overview
As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation.
You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments.
It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership.
You will:
- Lead customer engagements as the technical owner for a delivery pod.
- Design and implement production-grade enterprise systems using JazzX’s platform.
- Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions.
- Partner with product, platform, and research teams across the full solution lifecycle.
- Act as the primary technical escalation point for customer deployments.
- Influence platform evolution by feeding real-world learnings back into reusable components and patterns.
- Set a high engineering bar through hands-on contribution, design leadership, and mentorship.
Key Responsibilities
Hands-On Software Engineering
- Write and review production-quality code across backend services, APIs, and orchestration layers.
- Make architectural decisions balancing scalability, performance, security, and long-term maintainability.
- Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments.
- Ensure solutions meet production standards for reliability, observability, and operational readiness.
Applied GenAI & Agentic Systems
- Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems.
- Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals.
- Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures.
- Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability.
- Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes.
- Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments.
Customer Delivery Leadership
- Lead technical execution for customer POCs, pilots, and production rollouts.
- Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems.
- Troubleshoot complex integration, data, and system issues, owning resolution end-to-end.
Staff-Level Impact
- Lead and mentor engineers within the delivery pod, providing technical direction and feedback.
- Establish and reinforce best practices for customer-facing engineering.
- Turn customer insights into reusable architectures, templates, and delivery standards.
Qualifications
Must-Have
- 9+ years of professional software engineering experience building and operating production systems.
- Strong proficiency in Python with a proven track record of writing maintainable, well-tested code.
- Experience designing and building backend services, APIs, and distributed systems.
- Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services).
- Experience leading or owning technical delivery for customer-facing projects.
- Strong understanding of system reliability, observability, and operational best practices.
- Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders.
- Willingness to travel up to 20% for key customer engagements.
Nice-to-Have
- Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance).
- Familiarity with vector databases, semantic search, or knowledge retrieval systems.
- Experience contributing to shared libraries, internal platforms, or reusable engineering components.
- Prior experience in a fast-paced startup or early-stage product environment.
Attributes We Value
- Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything.
- Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability.
- Customer Empathy: You understand enterprise constraints and design systems accordingly.
- Ownership & Accountability: You take responsibility for outcomes, not just tasks.
- Collaboration & Mentorship: You raise the bar for those around you.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AIHeadquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
Staff Solutions Engineer
Location: Bengaluru, Karnataka (Hybrid)
Role Overview
As a Staff Solutions Engineer, you are a hands-on software engineer who leads customer engagements from a technical pod while remaining deeply involved in design and implementation.
You will own the technical success of customer deployments built on JazzX’s AGI platform—leading architecture, implementation, and delivery while working directly with enterprise customers. This role is designed for engineers who enjoy building real systems, guiding other engineers, and taking accountability for outcomes in complex customer environments.
It is a delivery-focused engineering leadership role that combines deep technical execution with customer-facing ownership.
You will:
- Lead customer engagements as the technical owner for a delivery pod.
- Design and implement production-grade enterprise systems using JazzX’s platform.
- Apply GenAI and LLM-based capabilities (e.g., RAG, agent workflows) as part of scalable, reliable solutions.
- Partner with product, platform, and research teams across the full solution lifecycle.
- Act as the primary technical escalation point for customer deployments.
- Influence platform evolution by feeding real-world learnings back into reusable components and patterns.
- Set a high engineering bar through hands-on contribution, design leadership, and mentorship.
Key Responsibilities
Hands-On Software Engineering
- Write and review production-quality code across backend services, APIs, and orchestration layers.
- Make architectural decisions balancing scalability, performance, security, and long-term maintainability.
- Design and build robust integrations with multiple third-party systems using RESTful APIs, event-driven interfaces, and data pipelines in complex enterprise environments.
- Ensure solutions meet production standards for reliability, observability, and operational readiness.
Applied GenAI & Agentic Systems
- Apply a strong understanding of LLM behavior, capabilities, and limitations to design reliable, production-ready systems.
- Build and orchestrate agentic workflows that coordinate multiple steps, tools, and decision points to achieve complex goals.
- Design prompt strategies, tool interfaces, and control flows that enable agents to reason, act, and recover from failures.
- Integrate LLMs into larger software systems with clear boundaries, guardrails, and observability.
- Evaluate and iterate on agent behavior using real-world signals such as correctness, latency, cost, and user outcomes.
- Collaborate with platform and research teams to validate emerging agent frameworks and reasoning approaches in customer environments.
Customer Delivery Leadership
- Lead technical execution for customer POCs, pilots, and production rollouts.
- Work closely with customer engineering and IT teams to integrate JazzX into existing enterprise ecosystems.
- Troubleshoot complex integration, data, and system issues, owning resolution end-to-end.
Staff-Level Impact
- Lead and mentor engineers within the delivery pod, providing technical direction and feedback.
- Establish and reinforce best practices for customer-facing engineering.
- Turn customer insights into reusable architectures, templates, and delivery standards.
Qualifications
Must-Have
- 9+ years of professional software engineering experience building and operating production systems.
- Strong proficiency in Python with a proven track record of writing maintainable, well-tested code.
- Experience designing and building backend services, APIs, and distributed systems.
- Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services).
- Experience leading or owning technical delivery for customer-facing projects.
- Strong understanding of system reliability, observability, and operational best practices.
- Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders.
- Willingness to travel up to 20% for key customer engagements.
Nice-to-Have
- Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance).
- Familiarity with vector databases, semantic search, or knowledge retrieval systems.
- Experience contributing to shared libraries, internal platforms, or reusable engineering components.
- Prior experience in a fast-paced startup or early-stage product environment.
Attributes We Value
- Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything.
- Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability.
- Customer Empathy: You understand enterprise constraints and design systems accordingly.
- Ownership & Accountability: You take responsibility for outcomes, not just tasks.
- Collaboration & Mentorship: You raise the bar for those around you.
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Ready to apply?
Apply to JazzX AI
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
About the Role
We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI agentic systems development, requiring not just system design skills, but also creativity in prompt engineering, AI product development and working with data-rich environments.
You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade agentic systems.
Key Responsibilities
- Develop robust, scalable Java/Python based backend systems that enable the orchestration of Agentic AI workflows.
- Develop state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
- Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
- Work closely with various stakeholders to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
- Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
- Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
- Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
- Monitor and optimize service performance, reliability, and scalability in production environments.
- Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 5+ years of overall experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
- 2+ years of experience in developing and deploying machine learning models and AI products in production environments.
- Experience in Agentic AI systems development using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
- Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
- Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
- Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
- Strong grasp of object-oriented design, data structures, and algorithms.
Preferred Qualifications
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
- Background in building microservices or backend systems for data-rich AI/ML platforms.
- Experience with vector databases, embedding services, or semantic search integration.
- Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
- Experience in developing LLM-powered agents, copilots, or task bots.
What We Offer
- Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
- A flexible hybrid work model in our Bangalore office.
- Competitive compensation with performance-based rewards.
- A culture that promotes engineering excellence, experimentation, and growth.Access to learning platforms, technical workshops, and industry-leading AI research.
Why Join Reltio?*
- Health & Wellness:
- Comprehensive Group medical insurance including your parents with additional top-up options.
- Accidental Insurance
- Life insurance
- Free online unlimited doctor consultations
- An Employee Assistance Program (EAP)
- Work-Life Balance:
- 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
- 26 weeks of maternity leave, 15 days of paternity leave
- Very unique to Reltio - 01 week of additional off as recharge week every year globally
- Support for home office setup:
- Home office setup allowance.
- Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
- No need to pack a lunch—we’ve got you covered with a free meal.And many more…..
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
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Who we are
DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com
Job summary
We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers.
What you will do
- Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications.
- Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks.
- Write clean, efficient, and maintainable code, in accordance with coding standards and best practices.
- Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture.
- Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues.
- Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools.
- Contribute to architectural decisions and help drive technical innovation within the team.
What you will have
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).
- 5+ years of experience as a Software Engineer (SSE) building scalable, production-grade web applications.
- Strong proficiency in Python and JavaScript, with full-stack development exposure.
- Deep expertise in modern frontend engineering using JS, Redux Toolkit, and strong fundamentals in ES6+, HTML5, CSS3, SASS, Tailwind CSS.
- Solid understanding of software design principles and architectures (modular design, domain-driven design, clean architecture) with a focus on scalability, maintainability, and performance.
- Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm for scalable deployments.
- Exposure to cloud platforms (AWS /GCP) with experience in building and deploying cloud-native applications.
- Strong DevOps mindset, including CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket, Harness), Infrastructure as Code (Terraform, CloudFormation), and automated deployment strategies.
- Strong experience with LLM-based developer tools and workflows, including Claude Code, GitHub Copilot, and modern AI-assisted engineering practices; adept at leveraging AI for code generation, optimization, debugging, and applying best practices in prompt engineering and workflow automation.
- Good exposure to application security practices, including secure coding standards (OWASP), vulnerability awareness, and implementing security best practices across the stack.
- Experience with API security and authentication mechanisms such as JWT, OAuth2, OpenID Connect, along with concepts like rate limiting and API gateways.
- Effective communicator and team player, experienced in collaborating with product, design, QA, and platform teams to deliver high-quality solutions.
Nice to have
- Working knowledge of PKI, cryptography, and code signing is an added advantage.
- Solid understanding of LLMs and RAG systems, including prompt engineering, embeddings, and vector databases (e.g., Postgres pgvector, Pinecone, Weaviate), along with orchestration frameworks such as LangChain and LlamaIndex.
- Familiarity with deploying GenAI workloads on AWS, Azure, and GCP (e.g., Bedrock, OpenAI, Azure OpenAI), including implementing guardrails, content filtering, and observability for LLM-based applications.
Benefits
- Generous time off policies
- Top shelf benefits
- Education, wellness and lifestyle support
#LI-SD1
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Who we are
DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com
Job summary
We are building the trust layer for the agentic future. As AI agents move from simple chatbots to autonomous workloads with access to sensitive enterprise data, the industry lacks a standard for Identity, Authentication, and Governance.
You will architect and build the core security and identity infrastructure that defines how AI agents are identified, authenticated, authorized, and governed at scale. You will set foundational architectural patterns, establish engineering standards, and help shape the long-term technical vision of the company.
This is a hands-on technical leadership role in a high-ownership startup environment.
What you will do
Architect the Trust Layer for AI
- Design and implement distributed identity and authorization systems for autonomous AI agents.
- Define Zero Trust principles for agent-to-agent and agent-to-system communication.
- Architect cryptographic identity, verifiable credentials, and secure delegation models.
Build Cloud-Native, SaaS Infrastructure
- Design and ship production-grade, multi-tenant SaaS services.
- Build containerized microservices (Kubernetes-based) with strong observability, scalability, and resilience.
- Establish secure service-to-service communication patterns using modern cloud-native best practices.
Develop Agent Security Testbeds
- Build sophisticated multi-agent workflows to stress-test identity boundaries and governance models.
- Create adversarial test harnesses to simulate prompt injection, privilege escalation, data exfiltration, and confused deputy attacks.
- Ensure the platform is resilient against real-world enterprise attack scenarios.
Design Secure Developer SDKs
- Create developer-facing SDKs and APIs that embed secure identity primitives into AI workloads.
- Ensure clean abstractions and seamless integration into enterprise systems.
Secure Tooling & Protocol Architecture
- Architect how agents interact securely with external systems via MCP or custom tool protocols.
- Ensure every tool invocation is authenticated, authorized, and fully auditable.
- Define policy enforcement layers for tool execution and resource access.
Technical Leadership
- Own architectural direction and long-term technical roadmap.
- Establish engineering standards for security, reliability, and performance.
- Partner with infrastructure, product, and security teams to align on scalable execution.
- Mentor engineers and raise the technical bar across the organization.
What you will have
Experience
- 12+ years of professional software engineering experience.
- Proven track record building and scaling cloud-native SaaS platforms.
- Experience designing distributed systems that operate at enterprise scale.
- Demonstrated ownership of zero-to-one or early-stage platform architecture.
Cloud & Infrastructure Expertise
- Deep experience with Kubernetes, containerization, and microservices.
- Strong background in AWS, Azure, or GCP (production environments).
- Experience building secure multi-tenant systems.
- Familiarity with service meshes, API gateways, and identity federation (OIDC/OAuth2).
Security & Identity Architecture
- Strong understanding of Zero Trust architectures.
- Experience designing authentication, authorization (RBAC/ABAC), and policy-driven systems.
- Familiarity with cryptographic primitives and secure token systems.
- Understanding of common security threats in distributed systems.
AI / Agent Ecosystem Experience
- Hands-on experience building or deploying LLM-based systems in production.
- Familiarity with frameworks such as LangGraph, CrewAI, or AutoGen.
- Experience deploying workloads on Azure AI Foundry, AWS Bedrock, or Vertex AI.
- Understanding of prompt injection risks, model safety, and tool security boundaries.
Note: Deep agentic AI tenure is not required, but demonstrated production experience with LLM-powered systems is expected.
Software Engineering Excellence
- Expert-level Python (FastAPI, Pydantic, AsyncIO).
- Strong API design principles and SDK development experience.
- Writes modular, production-grade code intended for reuse by other developers.
- Strong testing discipline (unit, integration, adversarial testing).
Startup Mindset
- Comfortable operating in ambiguity.
- Experience owning architecture, implementation, and reliability simultaneously.
- Bias toward shipping and iterative improvement.
Benefits
- Generous time off policies
- Top shelf benefits
- Education, wellness and lifestyle support
#LI-RR1
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About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
About the Role:
As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.
What You'll Do:
- Customer-facing: 30% working directly with customers.
- Coding & Integration: 70-80% hands-on technical implementation
- Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
- Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
- Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
- Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
- Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
- Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
- Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
- Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.
What You Bring:
- Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
- Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
- Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
- Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
- Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
- Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
- Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
- Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
- Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
- Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
- Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Ready to apply?
Apply to DevRev
About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
Role Overview
We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.
As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.
You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.
Key Responsibilities
- Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
- Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
- Build and showcase AI-driven workflows, automations, and agentic use cases
- Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
- Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
- Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
- Support integrations with external systems via APIs, webhooks, and data pipelines
- Contribute to technical proposals, RFP/RFI responses, and solution architectures
- Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations
Qualifications & Skills
Domain Expertise
- Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
- Strong understanding of:
- Connected systems (vehicles, machines, robotics, embedded systems)
- Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
- Real-world data (signals, logs, time-series)
- Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
- Ability to explain data flow from system → processing → business outcomes
Engineering Depth
- Strong system-level thinking
- Experience with:
- Data pipelines, APIs, integrations, distributed systems
- Experience in Python / TypeScript / JavaScript (or similar)
- Understanding of system design, reliability, and failure handling
- Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)
Problem Solving & Use Case Thinking
- Ability to translate data → insights → workflows → actions
- Experience designing end-to-end systems
- Strong analytical mindset to identify automation opportunities from real-world signals
AI & Tools
- Exposure to LLMs, RAG, AI agents
- Familiarity with prompt design and AI workflows
- Tools: Postman, GitHub, Jira, Cursor, Claude Code
DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Ready to apply?
Apply to DevRev
About Mesh
At Mesh, our mission is to enable consumers to pay and be paid with any asset. Today, trillions of dollars in tokenized assets exist but remain largely unusable for everyday commerce. Mesh is bridging this gap by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. Backed by leading investors like PayPal Ventures, Paradigm, and Galaxy Ventures, we are building the infrastructure for the next era of the global economy. Join us!
Overview
Mesh is looking for a Staff Backend Engineer to help architect and build the foundation of the world’s first global crypto payments network. In this role, you’ll operate across the full stack — from backend systems to user-facing applications — driving key technical decisions and shaping the future of digital finance. You’ll work closely with cross-functional teams across engineering, product, and design to lead the development of secure, seamless, and scalable financial experiences. As one of our most senior technical leaders, you’ll play a critical role in defining system architecture, mentoring engineers, and influencing product strategy. We’re especially excited to meet candidates based in Bangalore, where you’ll collaborate closely with our core team and help drive our engineering culture from the ground up.
What You'll Do
- Develop and maintain backend services and APIs
- Work closely with Azure cloud services for deployment and scalability.
- Conduct thorough testing, debugging, and prompt resolution of software defects.
- Stay up-to-date with industry trends and emerging technologies.
- Contribute to code reviews, architectural decisions, and system design.
- Create high-quality, efficient, and reliable code following best practices.
- Optimize performance and scalability of backend systems for handling large data volumes.
- Stay updated on the latest trends and technologies in fintech/crypto and backend development.
- Build crypto first and secure products to facilitate traditional financial activity, such as payments, transfers etc.
Who You Are
- 7+ years of professional experience as a Backend Software Engineer, preferably in the fintech/crypto industry.
- Strong proficiency in backend programming languages such as C#, Java, Scala, Go, etc.
- A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc
- An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc
- Solid understanding of RESTful API design principles and microservices architecture.
- Familiarity with cloud platforms such as Azure.
- Knowledge of DevOps practices and CI/CD pipelines.
- Excellent communication and collaboration abilities.
Why You’ll Love It Here
At Mesh, you're not stepping into a typical role—you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big—this is where you'll want to be.
In-Office Expectations
Employees based in our San Francisco, New York, and Bangalore hubs are expected to work from the office at least 40% of the time (approximately two days per week). This expectation may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional in-office requirements, which will be discussed during the interview process. Our hybrid approach is designed to balance meaningful in-person collaboration, team building, and real-time decision-making with the flexibility to work remotely. We believe this structure supports strong execution while preserving autonomy and focus time.
How We Care For Our Team
We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO—and we mean it. Take the time you need to recharge and show up at your best.
We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work.
Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Mesh
About Mesh
At Mesh, our mission is to enable consumers to pay and be paid with any asset. Today, trillions of dollars in tokenized assets exist but remain largely unusable for everyday commerce. Mesh is bridging this gap by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. Backed by leading investors like PayPal Ventures, Paradigm, and Galaxy Ventures, we are building the infrastructure for the next era of the global economy. Join us!
Overview
Mesh is looking for a Staff Backend Engineer to help architect and build the foundation of the world’s first global crypto payments network. In this role, you’ll operate across the full stack — from backend systems to user-facing applications — driving key technical decisions and shaping the future of digital finance. You’ll work closely with cross-functional teams across engineering, product, and design to lead the development of secure, seamless, and scalable financial experiences. As one of our most senior technical leaders, you’ll play a critical role in defining system architecture, mentoring engineers, and influencing product strategy. We’re especially excited to meet candidates based in Bangalore, where you’ll collaborate closely with our core team and help drive our engineering culture from the ground up.
What You'll Do
- Own and drive the roadmap, and implementation for multiple areas of focus, balancing short- and long-term priorities against various business needs.
- Drive technical architecture decisions and system designs.
- Provide technical leadership across teams.
- Collaborate closely with leadership, product, and teams to set strategy.
- Develop and maintain backend services and APIs.
- Work closely with Azure cloud services for deployment and scalability.
- Conduct thorough testing, debugging, and prompt resolution of software defects.
- Stay up-to-date with industry trends and emerging technologies.
- Create high-quality, efficient, and reliable code following best practices.
- Optimize performance and scalability of backend systems for handling large data volumes.
- Stay updated on the latest trends and technologies in fintech/crypto and backend development.
- Build crypto first and secure products to facilitate traditional financial activity, such as payments, transfers etc.
- Drive software best practices and architectural considerations on a project-wide level.
- Champion best practices in software engineering, infrastructure as code, and DevSecOps.
Who You Are
- 10+ years of software engineering experience, with at least 3 years in fintech or payments infrastructure.
- Strong backend skills in one or more of: C#, C++, Go, Java, Python.
- Proficiency in cloud-native development (Azure), Kubernetes, Terraform, and CI/CD tooling.
- A security first mindset: with good knowledge of common security concepts such as AuthN, AuthZ, SAML, API security, encryption etc
- An understanding of crypto concepts such as blockchains, RPCs, self custody wallets etc.
- Solid understanding of RESTful API design principles and microservices architecture.
- Prior experience leading engineering in a high-growth startup environment is a plus.
- Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make critical decisions under pressure.
- A passion for innovation, learning, and growth. Comfort with ambiguity and the ability to thrive in a startup environment.
Why You’ll Love It Here
At Mesh, you're not stepping into a typical role—you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big—this is where you'll want to be.
In-Office Expectations
Employees based in our San Francisco, New York, and Bangalore hubs are expected to work from the office at least 40% of the time (approximately two days per week). This expectation may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional in-office requirements, which will be discussed during the interview process. Our hybrid approach is designed to balance meaningful in-person collaboration, team building, and real-time decision-making with the flexibility to work remotely. We believe this structure supports strong execution while preserving autonomy and focus time.
How We Care For Our Team
We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO—and we mean it. Take the time you need to recharge and show up at your best.
We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work.
Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Mesh
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About Us
With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.
Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.
At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.
Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.
ChargePoint is looking for an AI Engineer who will design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale.
You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams.
Reports To
Senior Manager-Information Security
What You Will Be Doing
As an AI Engineer, you will:
- Assist in developing and training ML, deep learning, and NLP models.
- Support senior engineers in building and maintaining data pipelines
- Implement basic preprocessing, feature engineering, and data validation tasks.
- Contribute to testing, evaluating, and optimizing model performance.
- Help deploy models into staging or production under guidance.
- Write clean, well‑documented Python code for AI experiments and prototypes.
- Work with APIs, model inference scripts, and small‑scale automation tasks.
- Collaborate with cross‑functional teams to understand requirements.
- Stay updated with emerging AI tools, frameworks, and techniques
What You Will Bring to ChargePoint
- Proven ability to own ambiguous, complex problem spaces
- Experience influencing architecture and technical direction beyond your immediate team
- Strong system design and debugging skills for distributed AI systems
- Ability to balance speed, quality, and risk in production AI deployments
- Passion for building scalable, maintainable, and responsible AI platforms
- Strong communication skills with engineers, product managers, and leadership
Requirements
- 4 plus years of professional software engineering experience
- Strong development skills in Python (required); experience with Java, Go, or TypeScript is a plus
- Deep hands‑on experience with LLMs and Generative AI systems
- Strong experience with RAG, embeddings, vector search, and prompt engineering
- Experience building Copilot‑style or agent‑based AI systems
- Strong understanding of distributed systems, APIs, and microservices
- Experience deploying and operating systems using Docker/Kubernetes
- Experience with Azure, AWS, or GCP
- Familiarity with LLMOps / MLOps practices
Good to Have
- Experience with AI governance, compliance, or regulated enterprise environments
- Experience with vector databases and retrieval optimization
- Prior ownership of AI systems running in production at scale
Location
Remote location in India
We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
If there is a match between your experiences/skills and the Company needs, we will contact you directly.
ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.
If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.
ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.
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Senior AI Engineer
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Opportunity
Get Well is seeking a talented and innovative Senior AI Engineer to lead the development and deployment of advanced AI solutions within a mission-driven healthcare environment. This role is ideal for a seasoned professional with hands-on experience in machine learning (ML), large language models (LLMs), and generative AI (GenAI), with a strong focus on productionizing scalable and reliable models.
As a Senior AI Engineer, you will drive end-to-end AI development—from ideation and training data pipelines to model deployment and continuous improvement—while addressing unique healthcare data challenges. You’ll collaborate across functions including product, engineering, data science, and clinical experts to deliver high-impact AI applications, including voice assistants and multimodal systems tailored to real-world care settings.
Responsibilities
AI Model Development & Customization
- Fine-tune SLMs / LLMs and develop ML models for healthcare-specific use cases.
- Build multimodal AI systems that integrate text, structured medical data, and images.
- Optimize models for accuracy, latency, and resource efficiency in production settings.
- Evaluate and integrate speech-to-text (STT) and text-to-speech (TTS) models into conversational interfaces.
- Customize foundation models using domain adaptation and prompt engineering techniques (e.g., PEFT, LoRA).
- Develop AI algorithms from healthcare data and guide them through a full production lifecycle into deployed solutions.
Productionization & Deployment
- Lead model deployment end-to-end with cloud-native tools and infrastructure (Azure ML).
- Implement model performance monitoring, drift detection, and auto-retraining pipelines.
- Ensure AI solutions are scalable, reliable, and aligned with security and compliance requirements in healthcare environments.
Technical Leadership
- Provide technical guidance to junior AI engineers.
- Conduct design reviews and drive the adoption of best practices in model reproducibility, validation, and explainability.
- Lead the evaluation and integration of cutting-edge ML research and open-source frameworks.
- Contribute to architectural decisions aligned with clinical, business, and regulatory goals.
Data Engineering & Management
- Process and curate large-scale, structured and unstructured healthcare datasets.
- Design synthetic data generation strategies where needed to augment training.
- Handle noisy, imbalanced, or incomplete data through robust preprocessing and enrichment.
- Ensure HIPAA and GDPR compliance in data handling, encryption, and access management.
- Leverage EHR and clinical data from the provider side to engineer healthcare data pipelines and training corpora.
Bias Mitigation, Evaluation & Governance
- Lead the creation of robust evaluation strategies combining domain-specific KPIs (e.g., AUC, accuracy) with clinical relevance.
- Proactively identify, measure, and mitigate algorithmic bias, especially in patient-facing models.
- Conduct adversarial stress testing and ensure models meet safety, fairness, and ethical standards.
- Define model KPIs aligned with measurable impacts on clinical outcomes, patient safety, and workflow efficiency.
Cross-Functional Collaboration
- Translate stakeholder and product needs into robust, scalable AI solutions.
- Collaborate with clinical experts to vet model behavior and expected impact in patient and caregiver workflows.
- Participate in Agile processes including sprint planning, demos, and technical retrospectives.
- Manage documentation of model architectures, version changes, testing strategies, and key design decisions.
Learning, Innovation & Thought Leadership
- Stay up-to-date on the latest LLM advancements, STT/TTS developments, voice interaction technologies, and GenAI frameworks.
- Evaluate new models and methods (e.g., RAG, LangChain, Whisper, Tacotron) for their potential impact and feasibility.
- Advocate for responsible AI and lead initiatives in privacy-preserving and explainable ML.
- Contribute to a culture of continuous learning, internal knowledge sharing, and open technical dialogue.
Qualifications
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- Minimum 6+ years of industry experience in AI/ML including at least 2 years with GenAI, NLP/NLU, and LLMs.
- Must have software development experience at a healthcare company, particularly in the provider space (e.g., hospitals, clinical systems) with exposure to EHRs or related healthcare data domains.
- Proven experience developing AI algorithms using healthcare datasets and integrating them into production products or services.
- Experience building voice-enabled products or assistants is highly advantageous.
Technical Skills
- Expert in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Hands-on experience with training/fine-tuning LLMs and modern NLP/NLU techniques.
- Hands-on expertise with STT (e.g., Whisper) and TTS (e.g. Elevenlabs) models.
- Proficient in MLOps, including model serving, experiment tracking, container orchestration, and CI/CD pipelines.
- Strong understanding of production-grade solutions using Azure.
- Familiarity with version control (e.g., Git), collaboration tools, and responsible AI practices.
- Familiar with vector databases, retrieval-augmented generation (RAG), and API deployment.
- Comfortable with healthcare regulatory frameworks (e.g., HIPAA, GDPR) and ethical data use policies.
Professional Attributes
- Curious and self-motivated, with a passion for impactful healthcare innovation.
- Effective communicator who can tailor technical concepts to non-technical stakeholders.
- Exceptional problem-solving and quantitative reasoning abilities.
- Team-oriented, growth-minded, and proactive in driving projects forward.
- Highly organized and focused on quality, reproducibility, and compliance.
- Passionate about applying AI to improve outcomes in real-world healthcare systems.
About GW RhythmX
GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.
GW RhythmX is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.
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Title: DevOps Engineer
Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)
Opportunity:
Responsibilities:
Infrastructure Development & Integration
- Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
- Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
- Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
- Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
- Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.
System Optimization & Reliability
- Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
- Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
- Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
- Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
- Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.
Compliance & Security
- Support audit trails and compliance reporting through automated DevSecOps practices.
- Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.
Collaboration & Agile Practices
- Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
- Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
- Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.
Innovation & Technical Expertise
- Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
- Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
- Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.
Requirements
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
- 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
- Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
- Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
- Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
- Experience deploying AI agents and orchestrating agent workflows in production environments.
Technical Proficiency
- Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
- Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
- Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
- Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
- Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
- Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.
Professional Skills
- Strong problem-solving skills with a focus on reliability, scalability, and security.
- Excellent collaboration and communication skills across cross-functional teams.
- Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.
About Get Well:
Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.
Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.
About SAI Group:
- SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
- Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
- TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME
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Staff Software Engineer
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About Ethos
Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.
About the Role:
As a Staff Backend Engineer, you will play a critical role in designing and building scalable platform services and systems that power our core platform. You will collaborate closely with engineers across teams, product managers, and partner functions to deliver high-quality solutions — and you’ll set a high bar for execution, clarity, and engineering quality.
This role is for an engineer who combines deep technical judgment with strong leadership and ownership. You’ll lead complex initiatives end-to-end, drive alignment across teams, and influence platform direction through architectural decisions, best practices, and innovation. You’ll serve as a multiplier — not only writing excellent code, but raising the capabilities of the teams around you.
Duties and Responsibilities:
Technical Leadership & Ownership
- Own and drive the technical roadmap for key platform areas, balancing immediate delivery needs with long-term architecture
- Lead the design, development, and maintenance of complex backend systems and distributed services
- Make high-leverage architecture decisions that improve platform scalability, reliability, security, and developer velocity
- Identify and proactively address systemic issues across services (performance, cost, reliability, operability) and drive durable solutions
Project Leadership & Execution
- Lead multi-team initiatives from concept to launch, including planning, sequencing, risk management, execution, rollout, and post-launch iteration
- Partner cross-functionally with engineers, PMs, designers, and non-technical stakeholders to define requirements, drive alignment, and deliver outcomes
- Break down ambiguous problem spaces into structured plans and milestones; ensure accountability across teams
- Communicate strategy, progress, and tradeoffs clearly to technical and non-technical audiences, including leadership
Platform & Developer Experience
- Architect, build, and evolve API frameworks and platform capabilities used across multiple teams
- Establish and improve patterns for backend development (service templates, shared libraries, tooling, standards, and documentation)
- Champion engineering best practices across teams — consistency, testing, observability, code quality, incident response, and secure development
- Drive a culture of operational excellence through monitoring, alerting, on-call maturity, and post-incident learning
Innovation & Continuous Improvement
- Lead initiatives to evaluate and adopt new technologies, frameworks, or architectural approaches when they materially improve outcomes
- Identify opportunities for automation and tooling that reduce toil and increase engineering throughput
- Encourage experimentation and iterative improvement, creating a culture where teams ship improvements continuously and safely
Team Leadership & Mentorship
- Set a strong technical bar through code reviews, architectural guidance, and hands-on contributions
- Mentor and support junior and mid-level engineers; coach senior engineers through high-impact execution and leadership moments
- Enable engineers across teams to succeed by providing clarity, context, and unblock support; help raise overall execution quality
- Represent backend/platform engineering in cross-team planning, design reviews, and strategic conversations
Qualifications and Skills:
- 10+ years of full-time engineering experience, ideally in high-scale, high-complexity environments
- Demonstrated experience designing and delivering backend architectures from the ground up and successfully evolving them over time
- Strong understanding of distributed systems, API design, data modeling, and performance tradeoffs
- Strong track record of leading multi-team projects — from planning through delivery — with measurable impact
- Hands-on engineering experience with several of the following: TypeScript, Go, Python, PostgreSQL, Kubernetes, React, AWS
- Skilled in software engineering best practices: design patterns, testing strategies, observability, code quality, secure development
- Proven ability to influence technical direction, align stakeholders, and drive execution across teams
- Excellent verbal and written communication skills; able to explain complex ideas to technical and non-technical stakeholders
- High degree of ownership, proactive problem-solving, and the ability to operate with urgency when needed
- Strong CS fundamentals including data structures, algorithms, and understanding of security principles and common attack vectors
- Familiarity with LLM implementations, including practical integration patterns (e.g., prompt orchestration, retrieval, evaluation, safety/guardrails, latency/cost considerations)
- Familiarity with end-to-end product development, including building across backend and modern web frameworks and delivering complete user-facing experiences
- Experience establishing and driving team KPIs, with a focus on measurable outcomes such as reliability, latency, cost efficiency, quality, and delivery velocity
Nice to Have (Optional)
- Experience owning and scaling a platform used by multiple product teams
- Experience driving architecture modernization (service decomposition, monolith to services, data migrations, infra upgrades)
- Experience with observability, SRE practices, incident response, and production hardening
- Proven ability to drive improvements in engineering velocity through tooling and automation
#LI-Hybrid
#LI-NG1
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
We are an equal opportunity employer.. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.
To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.
Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.
We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.
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WHO ARE WE?
We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy!
CloudSEK, one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention.
Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including:
CloudSEK’s Product Suite:
- CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support.
- A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets.
- CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies.
Key Milestones:
- 2016: Launched our first product.
- 2018: Secured Pre-series A funding.
- 2019: Expanded operations to India, Southeast Asia, and the Americas.
- 2020: Won the NASSCOM-DSCI Excellence Award for Security Product Company of the Year.
- 2021: Raised $7M in Series A funding led by MassMutual Ventures.
- Awards & Recognition: Won NetApp Excellerator's "Best Growth Strategy Award," CloudSEK XVigil joined NVIDIA Inception Program, and won the NASSCOM Emerge 50 Cybersecurity Award.
- 2025: Secured $19 million in funding led by Tenacity Ventures, Commvault.
About the Role:
As a Backend Software Engineer in the Core Platform Engineering team, you’ll be responsible for building and scaling core backend systems that power our cybersecurity products. You will work on high-impact engineering problems with a focus on performance, scalability, and reliability. This role is best suited for engineers who love building systems, writing clean code, and want to grow their skills in system design and backend infrastructure.
What You'll Do:
- Backend development in NodeJS + Typescript
- Design data models and manage databases (PostgreSQL, MongoDB, elastic search etc.) for performance and reliability.
- Collaborate with cross-functional teams (Product, Frontend, Infra) to deliver features end-to-end.
- Implement observability practices – logging, monitoring, alerting.
- Work with containerized environments (e.g., Docker) and contribute to CI/CD pipelines.
- Participate in code reviews, technical discussions, and mentoring when applicable.
What We're Looking For:
- 3+ years of backend development experience.
- Strong in Golang/Python/Node.js/Typescript, with hands-on coding and debugging skills.
- Good understanding of data structures, algorithms, and problem solving.
- Solid knowledge of SQL/NoSQL data modeling and performance tuning.
- Exposure to basic system design and a willingness to improve architectural thinking.
- Experience working with concurrent systems and caching mechanisms like Redis is a plus.
- Willingness to learn, take feedback, and grow with structured mentorship.
Nice to Have:
- Familiarity with Docker, CI/CD, Linux, and RESTful API standards.
- Understanding of scalable system design and cloud-native development.
- Experience in cybersecurity product development or interest in the space.
Benefits of Joining CloudSEK
We provide an environment where you can develop and enhance your skills while delivering meaningful work that matters. You’ll be rewarded a competitive salary as well as a full spectrum of generous perks and incentives which include:
- Flexible working hours.
- Food, unlimited snacks and drinks are all available while at office.
And, the finest part is yet to come! Every now and then we ensure to unwind and have a good time together, which involves games, fun, and soulful music. Feel free to show off your artistic side here!
CloudSEK is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply.
Ready to apply?
Apply to CloudSEK
Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
About Netradyne:
Netradyne provides AI-powered technologies for fleet management and safer roads. An award-winning industry leader in fleet safety and video telematics solutions, Netradyne empowers thousands of commercial fleet customers across North America, Europe, and Asia to enhance their driver performance, reduce risk, and optimize operations.
Netradyne sets the standard among transportation technology companies for enhancing and sustaining road safety, with an industry-leading 25+ billion miles vision-analyzed for risk and an industry-first driver scoring system that reinforces safe behaviors. Founded in 2015, Netradyne is headquartered in San Diego with offices in San Francisco, Nashville, the UK and Bangalore. For more details visit: www.netradyne.com
Job Overview:
As a Staff Data Engineer – ML at Netradyne, an award-winning industry leader in fleet safety and video telematics solutions, you will take senior technical ownership of the machine learning and data platforms that underpin our AI-powered fleet analytics. This role is responsible for designing, building, and scaling production-grade ML pipelines, generative AI capabilities, and real-time data streaming systems across cloud and edge environments, delivering actionable insights that make fleet operations safer and more efficient. You will collaborate closely with machine learning engineers, data scientists, and product teams to integrate advanced AI technologies into Netradyne's platform, including on-device edge intelligence and natural-language-driven capabilities. Your work will directly shape the data infrastructure behind Netradyne's Physical AI vision, where AI continuously interprets multimodal vehicle data to understand drivers, vehicles, and road environments as an integrated system.
Key Responsibilities:
- You will be embedded within a team of machine learning engineers and data scientists, responsible for building and productising generative AI, deep learning, and data engineering solutions. You will:
- Design, develop and deploy production-ready, scalable solutions that utilise generative AI, traditional ML models, data science workflows, and ETL/ELT pipelines on AWS cloud infrastructure (and hybrid edge-cloud environments).
- Build and manage real-time and batch data streaming pipelines to handle high-volume, high-velocity data from fleet devices, leveraging technologies such as Apache Kafka and Amazon Kinesis for low-latency processing and near real-time insights.
- Collaborate with cross-functional teams (Product, Data Science, ML Engineering, Operations) to integrate AI-driven solutions into business operations and customer-facing products.
- Design and implement generative AI solutions using large language models (LLMs), including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) patterns, to enable intelligent analytics, natural-language interfaces, and context-aware insights across fleet and safety data.
- Build and scale agentic AI systems by developing autonomous and semi-autonomous agents that orchestrate data retrieval, reasoning, and actions across ML pipelines and services, ensuring these agentic workflows are production-grade, observable, and aligned with safety, reliability, and governance requirements.
- Implement MLOps best practices including CI/CD pipelines for model training, automated testing, model versioning, continuous monitoring, and modern workflow orchestration (e.g. Apache Airflow, MLFlow) to achieve reliable, reproducible model deployments at scale.
- Champion data quality and governance by implementing data contracts, rigorous validation, and monitoring to ensure that analytical pipelines meet defined SLAs and that downstream models and business users can trust the data.
- Conduct research and stay current with the latest advancements in generative AI, vector search techniques, LLM frameworks, orchestration platforms, and related technologies.
Mandatory Skills:
- Experience with data visualisation and BI tools (e.g. Tableau, Grafana, Plotly Dash).
- Exposure to real-time data streaming and messaging systems (e.g. Apache Kafka, Amazon Kinesis, Amazon SQS).
- Knowledge of containerisation and orchestration (e.g. Docker, Kubernetes/EKS)
- Strong understanding of generative AI system design, including prompt engineering, RAG architectures, vector search, and evaluation techniques for LLM-based applications in production environments.
- Experience with agentic AI patterns, such as designing, orchestrating, and monitoring autonomous or semi-autonomous agents that coordinate tools, data sources, and ML services with appropriate safety, observability, and governance controls.
- Experience with modern workflow orchestration platforms such as Apache Airflow, Prefect, or Dagster for scheduling and managing complex ETL/ML pipelines. These tools are now standard for data pipeline engineering.
- Proficiency with at least one Python web framework (e.g. FastAPI, Django, Flask) for developing data or model-serving APIs.
- Experience with rapid prototyping tools (e.g. Streamlit, Gradio, Dash) for demonstrating ML solutions to stakeholders.
- Familiarity with modern ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face Transformers
- Background in large-scale data processing and lakehouse or data warehousing technologies (e.g. Snowflake, Amazon Redshift, Apache Spark/EMR, Delta Lake).
Qualifications and Education Requirements:
- B.Tech, M.Tech or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, Operations Research, or a related field (or equivalent professional experience).
- 5–8 years of industry experience in data engineering, machine learning engineering, or related roles, with a track record of building and scaling data/ML solutions in production.
- Strong programming skills in Python and SQL, with solid fundamentals in algorithms, data structures, and object-oriented programming.
- Experience building end-to-end solutions on AWS cloud infrastructure including developing data pipelines (ETL/ELT), deploying ML models at scale, and utilising cloud services (e.g. S3, Lambda, EKS).
- In-depth understanding of data storage systems: proficient with relational databases (SQL), NoSQL datastores, and modern vector databases, including schema design and query optimisation for large-scale datasets.
- Hands-on experience with generative AI tools and workflows, and practical work with large language models (LLMs), including building LLM-powered applications and utilising RAG techniques to incorporate external knowledge.
- Working knowledge of MLOps principles and tools — e.g. model lifecycle management, CI/CD pipelines for ML, automated data/feature pipelines, and monitoring/alerting for deployed models.
- Strong analytical and problem-solving skills with keen attention to detail.
- Solid foundation in statistics, probability, and estimation theory.
Equal Opportunity Employer Statement:
Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.
We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
Netradyne is an equal-opportunity employer.
Applicants only - Recruiting agencies do not contact.
Recruitment Fraud Alert!
There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.
Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
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Apply to Netradyne
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Senior AI SDET (AI Engineering & Quality)
Location: Bengaluru, India – Hybrid
About Reltio
Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.
At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.
Role Overview
We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.
Core Responsibilities
- AI Development & Engineering
- Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
- Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
- RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
- Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
- Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.
- Advanced Validation & Quality Architecture
- Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
- Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
- Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
- End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
- Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.
Required Skills
AI & Data Science
- Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
- LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
- Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
- AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.
Software Engineering & QA
- Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
- Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
- Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.
What You Bring
- 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
- 2+ years of hands-on experience testing AI/ML products.
- Experience integrating AI tools and agents into quality lifecycle management.
- Proven ability to write and review production-quality code.
- Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
- Experience working in agile environments and testing highly scalable SaaS applications.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Senior AI SDET (AI Engineering & Quality)
Location: Bengaluru, India – Hybrid
About Reltio
Reltio's AI-powered data unification and management platform—spanning entity resolution, multi-domain master data management (MDM), and data products—transforms siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across industries rely on our award-winning, cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.
At Reltio, our values guide everything we do: Customer First, Better Together, Simplify and Share, Own It, and Always Better Than Yesterday. If you share these values, we invite you to join us.
Role Overview
We are looking for a powerhouse engineer who bridges AI development and automated validation. This is a builder-tester role — you will own the full lifecycle of AI features: from writing core Python logic for agentic workflows and tuning prompts, to architecting robust evaluation frameworks that ensure those systems are enterprise-ready.
Core Responsibilities
- AI Development & Engineering
- Agentic Implementation: Design and implement autonomous agents using frameworks such as LangGraph, CrewAI, or AutoGen.
- Prompt Engineering: Own the prompt lifecycle — design, version, and tune system prompts to minimize hallucinations and maximize intent recognition.
- RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) components, including document ingestion, chunking strategies, and vector database indexing.
- Feature Prototyping: Rapidly prototype AI-driven features in Python to validate feasibility before full-scale integration.
- Data Curation: Build golden datasets and synthetic data generation scripts to train and evaluate models.
- Advanced Validation & Quality Architecture
- Automated Evaluation (Eval-as-Code): Build automated pipelines to measure LLM performance across metrics such as faithfulness, relevancy, and toxicity.
- Non-Deterministic Testing: Develop strategies to test "fuzzy" outputs using LLM-assisted evaluation (using one LLM to grade another).
- Hybrid Framework Development: Design and maintain a dual-stack automation framework covering both backend/infrastructure and AI/ML validation.
- End-to-End Orchestration: Integrate AI tests into the MLOps pipeline so that every model deployment or prompt change triggers a full regression of the agent's reasoning capabilities.
- Mentorship & Standards: Serve as the team's subject matter expert, defining standards for writing inherently testable AI code.
Required Skills
AI & Data Science
- Python: Strong proficiency with Pandas, NumPy, LangChain, and LlamaIndex.
- LLMs: Hands-on experience with OpenAI, Anthropic, or open-source models (Mistral, Llama); solid understanding of temperature, top-p sampling, and tokenization.
- Vector Databases: Experience with Pinecone, Milvus, or Weaviate.
- AI Evals & Observability: Practical experience building LLM-judge evaluation pipelines.
Software Engineering & QA
- Production-Grade Code: Ability to write and review complex automation suites for distributed systems.
- Architecture: Familiarity with microservices, async processing (Kafka/RabbitMQ), and RESTful APIs.
- Performance Testing: Experience with JMeter or Locust to benchmark LLM inference latency and streaming responses.
What You Bring
- 5+ years of experience as an SDET, QA Automation Engineer, or AI Engineer.
- 2+ years of hands-on experience testing AI/ML products.
- Experience integrating AI tools and agents into quality lifecycle management.
- Proven ability to write and review production-quality code.
- Solid background in test case design, test planning, and issue lifecycle management in a continuous deployment environment.
- Experience working in agile environments and testing highly scalable SaaS applications.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Ready to apply?
Apply to Reltio
Senior Backend Engineer
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HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.
Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.
People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards
About the role
Every day, millions of developers use HackerRank to prove their skills. We're looking for a Senior Backend Software Development Engineer who can drive the technical direction of critical backend systems and lead the delivery of high-impact, platform-level initiatives. You will own the architecture and evolution of core backend services, mentor engineers across teams, and be a key technical decision-maker ensuring our platform remains fast, reliable, and scalable as we grow our global user base.
What you’ll do
- Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale.
- Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction.
- Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices.
- Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations.
- Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders.
- Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures.
- Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance.
- Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity.
Who you are
- Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale.
- Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack.
- Proven ability to design and build distributed systems - you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability.
- Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads.
- Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures.
- Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices.
- Track record of leading technical projects from ambiguous problem statements through to production delivery.
AI fluency
- Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) - you don't just use them, you've developed workflows and best practices around them that you can teach others.
- Strong working knowledge of LLMs and agentic AI systems - you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems.
- Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing.
- Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies.
- Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain - including cost, latency, reliability, and security considerations.
- You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team.
Even better if you have
- Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements.
- Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application.
- Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization.
- Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams.
- A history of driving engineering culture improvements - whether through RFC processes, architecture review boards, or engineering blog contributions.
You will thrive in this role if
- You think beyond the immediate task and consider the long-term health, extensibility, and operational cost of the systems you build.
- You take ownership not just of your own code, but of the overall quality and direction of the systems your team delivers.
- You are energized by ambiguity - you can take a loosely defined problem, structure it, and drive it to a well-engineered solution.
- You lead by influence, earning trust through strong technical judgment and a collaborative, ego-free approach.
- You genuinely enjoy making other engineers better through mentorship, knowledge sharing, and raising the engineering bar.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
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Notice to prospective HackerRank job applicants:
- Our Recruiters use @hackerrank.com email addresses.
- We never ask for payment or credit check information to apply, interview, or work here.
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Apply to HackerRank CareersWHO ARE WE?
We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy!
CloudSEK, one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention.
Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including:
CloudSEK’s Product Suite:
- CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support.
- A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets.
- CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies.
Key Milestones:
- 2016: Launched our first product.
- 2018: Secured Pre-series A funding.
- 2019: Expanded operations to India, Southeast Asia, and the Americas.
- 2020: Won the NASSCOM-DSCI Excellence Award for Security Product Company of the Year.
- 2021: Raised $7M in Series A funding led by MassMutual Ventures.
- Awards & Recognition: Won NetApp Excellerator's "Best Growth Strategy Award," CloudSEK XVigil joined NVIDIA Inception Program, and won the NASSCOM Emerge 50 Cybersecurity Award.
- 2025: Secured $19 million in funding led by Tenacity Ventures, Commvault.
Role Summary
We are seeking a highly skilled and experienced Security Engineer to join our team, focusing on offensive security, exploitation, and automation. The ideal candidate will possess expertise in advanced Red Teaming methodologies, deep knowledge of web application and API penetration testing, and proficiency in scripting, security automation, and vulnerability exploitation techniques. You will be responsible for validating real-world risk and providing expert technical advisory to clients.
Key Responsibilities
- Lead Advanced Penetration Testing: Plan and execute comprehensive offensive security engagements, including Red Team operations, web application, API, mobile application, and cloud environment penetration tests.
- Exploitation and Validation: Proactively identify, exploit, and validate critical vulnerabilities (including 0-days) across diverse client environments to demonstrate real-world impact and risk.
- Automation & Tool Development: Design, develop, and implement custom scripts and security tools (e.g., in Python, Go) to automate offensive processes, continuous security assessments, and improve the team's efficiency and capabilities.
- Vulnerability Mitigation Advisory: Translate complex technical findings into clear, actionable reports and provide expert, technical guidance to engineering teams on effective mitigation strategies and security best practices.
- Advanced Threat Research: Conduct deep technical research on emerging exploit techniques, zero-day vulnerabilities, and attacker Tactics, Techniques, and Procedures (TTPs) to enhance internal capabilities and methodologies.
- Client-Facing Proof of Concept (POC): Conduct professional and technical POC calls with clients, clearly articulating complex exploitation scenarios, demonstrating technical risk, and discussing the corresponding business impact.
- Cross-Functional Collaboration: Partner with internal R&D and Product Management teams, utilizing penetration testing insights to drive significant security feature enhancements and improvements in our product offerings.
- Knowledge Leadership: Contribute to and lead the creation of sophisticated internal knowledge base articles, runbooks, and SOPs focused on advanced exploitation and testing techniques.
Qualifications
- Experience: Minimum of 2+ years of progressive, hands-on experience in offensive security, specifically Red Teaming and advanced penetration testing. Proven track record of successful vulnerability exploitation and bypass of security controls.
- Technical Expertise: Expert proficiency in at least one relevant scripting language (e.g., Python, Go, PowerShell) and deep, hands-on experience with industry-standard security tools (e.g., Burp Suite Pro, Metasploit, Nmap, specific cloud security tools).
- Offensive Certifications (Preferred): Advanced offensive security certifications such as OSCP etc or equivalent.
- Domain Knowledge: Strong understanding of current threat intelligence, dark web monitoring trends, and how they inform offensive testing methodologies.
- Cloud/Mobile Exploitation: Demonstrated experience identifying and exploiting vulnerabilities in major cloud providers (AWS, Azure, GCP) and mobile platforms (iOS/Android).
- Advanced Problem-Solving: Exceptional analytical and structured problem-solving skills focused on bypassing complex security defenses and troubleshooting non-standard technical issues.
- Communication & Presentation: Strong communication, documentation, and interpersonal skills, with the ability to translate technical risks (exploitation paths) into clear, compelling reports and presentations for both technical teams and senior client stakeholders.
- Commitment to Operational Excellence: Willingness to provide support for critical operational schedules, potentially including rotating shifts, to ensure continuous, high-quality assessment coverage.
Benefits of Joining CloudSEK
We provide an environment where you can develop and enhance your skills while delivering meaningful work that matters. You’ll be rewarded a competitive salary as well as a full spectrum of generous perks and incentives which include:
- Flexible working hours.
- Food, unlimited snacks and drinks are all available while at office.
And, the finest part is yet to come! Every now and then we ensure to unwind and have a good time together, which involves games, fun, and soulful music. Feel free to show off your artistic side here!
CloudSEK is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply.
Ready to apply?
Apply to CloudSEK