Prompt Engineer Jobs in Bengaluru.
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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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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
#P16568_3435773
#LI_Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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Job Title: GenAI Developer/ Engineer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location - Bangalore
Experience - 6 to 10
Skills and Qualifications:
Preferred skills:
Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)
GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel
Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch
Key Responsibilities:
- Develop scalable Python applications focused on GenAI
- Knowledge of Snowflake Cortex is a big plus.
- Learn and apply techniques like document chunking and embeddings
- Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
- Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
- Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
- Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
- Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
- Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
- Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
- Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
- Design and implement scalable RESTful APIs and microservices to expose AI functionalities
- Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
- Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
- Follow coding best practices and contribute to testing and documentation
- Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
- Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
- Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.
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Lead Solution Engineer - Corp Tech
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.
What You'll Do:
- Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
- AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
- Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
- Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
- Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
- Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
- Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
- Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.
What You’ll Need:
- 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
- Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
- Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
- Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
- PowerShell and Python coding/scripting capabilities for automation and workflow development
- Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
- Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
- Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
- Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
- Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
- Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
- Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
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About 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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Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
Job Title: AI Applications Engineer II
Location: Bangalore/ Chennai (Hybrid)
About the Role
We’re looking for a passionate AI Applications Engineer II to join our growing Enterprise AI Team. In this role, you’ll help manage, support, and optimize our Google Gemini Enterprise agentic AI platform, ensuring it operates securely, efficiently, and at scale across the organization.
You’ll spend most of your time focused on Gemini Enterprise platform administration, governance, and support, along with some dedicated time to enhancing/building/doing POC work on agentic and automation projects that furthers performance, user experience, and integration with Five9 enterprise systems.
If you’re driven by innovation, precision, and the opportunity to shape how AI supports a global business, this is the role for you.
Key Responsibilities
- Administer, configure, and optimize Gemini Enterprise and related AI agentic functionality to ensure seamless performance and compliance within Five9 environments.
- Manage user provisioning, license assignments, access controls, and security policies, ensuring consistency with IT, Infosec and compliance governance standards.
- Oversee appropriate Google Cloud Platform (GCP) resources — including Project services, AI/ML engine, storage, and Gemini AI models — focusing on reliability, performance, and cost management.
- Support cloud run workflows, CI/CD automation pipelines, and containerized environments, leveraging tools such as Terraform, Docker, and Kubernetes.
- Partner with data engineers, DevOps teams, and business stakeholders to troubleshoot issues, implement updates, and ensure timely support for production workloads.
- Conduct prompt engineering and workflow optimization to improve agentic AI accuracy, responsiveness, and relevance.
- Maintain and update documentation, runbooks, and best practice guides for platform operations, deployment, and support.
- Deliver training and enablement sessions to end users and power users on Gemini Enterprise capabilities and AI use cases.
- Continuously evaluate emerging Google AI and Gemini agentic technologies, recommending improvements that enhance scalability and automation.
Key Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (AI or data systems focus preferred).
- Minimum of 3 years of GCP experience supporting or developing AI/ML solutions on Google platform.
- Hands on experience with AI/ ML solutions/apps and operational best practices (ML Ops experience is advantageous).
- Proficiency with GCP services such as Compute Engine, IAM, Kubernetes, VPC, BQ, etc.
- Experience in automation and scripting using Python, Bash, and Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager.
- Familiarity with Gemini Enterprise or similar enterprise AI frameworks, including prompt engineering, AI agent configuration, and data governance.
- Strong understanding of security, compliance, and auditing practices, including DLP, Access Transparency, and data residency standards.
- Excellent problem-solving, analytical, and troubleshooting skills.
- Strong interpersonal and communication abilities, with the capacity to explain technical topics to non-technical audiences.
- A passion for innovation, continuous learning, and driving impactful AI adoption across the enterprise.
Why You’ll Love Working Here
- Be part of a forward-thinking Enterprise AI Team, driving next-generation innovation across the company.
- Work hands-on with cutting-edge technologies like Google Gemini Enterprise and other agentic AI tools that power real-world business applications.
- Collaborate with skilled engineers, data scientists, and business leaders on high-visibility projects that make a measurable impact.
- Enjoy a culture that values experimentation, continuous learning, and teamwork, with opportunities to grow your skills in cloud operations and AI engineering.
- Play a key role in transforming enterprise workflows through AI innovation, scalability, and operational excellence.
Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer.
View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal.
Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.
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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.
Ready to apply?
Apply to ChargePoint
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!
Job Duties and Responsibilities
- Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
- Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
- Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph)
- Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
- Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
- Support & resolve production issues across the full application stack
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
- Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
- Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
- Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
- Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and Retrieval Augmented Generation (RAG)
Education and Certifications
- A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
- AWS cloud Certification or any ERP foundation certificate is a plus
#P25153_3431422
#Linkedin_Hybrid
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!
Job Duties and Responsibilities
- Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
- Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
- Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
- Provide technical consultant, best practices, and problem resolution.
- Support & resolve production issues
- Develop and maintain integrations with third-party applications via REST/SOAP APIs
Required Skills:
- 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
- Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
- Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
- Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
- Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
- Proficiency in JavaScript, SQL, and related web technologies
- Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
- Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
- Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
- Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
- Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
- Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment
Education and Certifications
- A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
- NetSuite Administration or ERP consultant certification is an advantage
#P22115_3060755
#LI_Hybrid_Bengaluru
The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
Ready to apply?
Apply to Okta
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
About Dialpad
Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.
More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.
We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.
Visit dialpad.com to learn more.
Being a Dialer
At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.
We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.
We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.
Your role
Dialpad’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems.
As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted development to improve speed and coverage.
This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.
What you’ll do
- Build, execute, and maintain UI and API automated tests (Playwright/Selenium, Java/Python)
- Perform end-to-end and regression testing, ensuring release readiness
- Own QA for assigned modules, including:
- Test planning and design
- Automation coverage and execution
- Regression sign-off
- Achieve ~70–80% automation coverage with stable, reliable test suites
- Analyze failures, identify defects, and provide clear root cause insights
- Use AI tools (Copilot, Cursor, Gemini, etc.) to generate tests, debug, and improve coverage
- Validate AI/LLM-driven features (prompt/response accuracy)
- Collaborate with engineering on debugging and fix verification
- Contribute to CI/CD pipelines (GitHub Actions)
Skills you’ll bring
- 5–8 years in QA / Test Automation
- Strong experience in Java or Python + Playwright/Selenium
- Solid understanding of UI, API, functional, and regression testing
- Experience with REST APIs, Postman, and CI/CD pipelines
- Exposure to AI-assisted coding tools (or willingness to learn)
- Strong debugging, analytical, and communication skill
Nice to Have
- Experience with VoIP, contact center, or communication platforms
- Exposure to performance or reliability testing
Tech Stack
- Languages: Java, Python
- Automation: Selenium, Playwright, TestNG, BDD
- API Testing: REST Assured, Postman
- CI/CD: GitHub Actions (GHA)
- Dev Tools: Git, GitHub, Jira
Why Join Dialpad
- Work at the center of the AI transformation in business communications
- Build and ship agentic AI products that are redefining how companies operate
- Join a team where AI amplifies every employee’s impact
- Competitive salary, comprehensive benefits, and real opportunities for growth
We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.
Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
Ready to apply?
Apply to Dialpad
Lead Data Engineer
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
Job Overview
We are looking for a bright and exceptional Engineering Lead to join our Technology team. In this role, you will work closely with Product Managers, Subject Matter Experts, Data Scientists and Software Engineers to design, build, and optimize scalable data pipelines for our Data Platform. The ideal candidate has strong hands-on experience in distributed data processing, expertise in architecting Data Pipelines and operational skills to drive efficiency and speed.
Key Responsibilities:
- Work closely with the product and other teams to understand business requirements and translate them into robust engineering solutions.
- Architect, build and maintain data solutions and pipelines to meet business requirements.
- Engage and lead a team of talented technologists and establishing engineering best practices.
- Act as a point of contact for managing and driving production defects & stability improvements to resolution
- Oversee end-to-end data workflows from ingestion, transformation, and storage to data lake in both batch and streaming environments.
- Drive improvements in performance, reliability, and scalability of data pipelines
Required Skills & Qualifications:
- A bachelor’s degree in computer science, Math, or other technical fields with 6-8 years of experience, Fintech domain is a plus.
- Demonstrated contribution to end-to-end delivery of enterprise-grade software
- Experience on Data Engineering, Data Lakes, Data Warehousing, Data Pipelines, Data Analytics tools.
- Experience using open-source Big Data technologies such as Spark, Hadoop, Elasticsearch, Kafka.
- Hands-on experience in enterprise application development
- Strong SQL skills and experience working with relational and NoSQL databases.
- Experience in cloud technologies is a plus
- Demonstrates advanced proficiency in Python for building scalable data pipelines, automating workflows
- Experience building scalable ETL/ELT data pipelines and data lakes/warehouses.
- Familiarity with workflow orchestration tools (Airflow, ADF, Glue Workflow, etc.).
- Solid understanding of CI/CD, version control, and DevOps practices.
- Experience working in agile, collaborative environments.
- Attention to detail and quality, and the ability to work well in and across teams
- Ability to advocate & influence multiple stakeholders
- Excellent problem-solving, communication, and leadership skills.
- Experience in leading a team of highly skilled engineers
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
Senior Software Development Engineer in Test
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.
As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
- Java11, JUnit5,
- Docker and Kubernetes
- AWS, GCP
- Terraform, WireMock, RestAssured
- Bazel, BuildKite
What You’ll Do
- Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
- Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
- Write high-signal test strategies for complex features and automate them across multiple environments.
- Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
- Build internal tools and proof-of-concepts using AI/LLM technologies to:
- Accelerate debugging and failure triaging
- Generate high-quality test scenarios
- Detect flaky patterns or regression risks
- Improve log analysis and root-cause identification
- Enhance developer and QA productivity
- Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
- Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
- Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
- Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.
Skills We’re Looking For
- 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
- Deep understanding of OOP principles and strong proficiency in Java.
- Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
- Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
- Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
- Experience working with backend automation frameworks.
- Knowledge of database testing and ETL/data pipeline validation is a strong plus.
AI & Productivity Engineering
- Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
- Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
- Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
- Experience streamlining workflows using AI to improve measurable engineering productivity.
- Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems.
- Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume.
#LI-HYBRID #LI-VM1
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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About the job
Delart is home to a team of world-class engineers and project leaders dedicated to developing the next generation of advanced networking technologies, consumer devices, and innovative technology solutions. Trusted by some of the world’s leading technology companies, we deliver highly scalable, mission-critical solutions that power both consumer and business applications globally. Since our founding in 2017, we have been at the forefront of designing cutting-edge networking, telecommunications, and consumer products, while driving end-to-end project execution and creating transformative technology applications.
Overview
Join our team as an impact-focused engineer where you will leverage your software engineering expertise to develop scalable and production-grade solutions across diverse platforms. Collaborating seamlessly with cross-functional product engineering teams, you will drive innovation and maximize impact for stakeholders and billions of users worldwide. Your role is critical in merging business needs with cutting-edge technology to create meaningful and transformative digital experiences.
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences.
- Develop reusable software components to interface with hyperscaler back-end platforms.
- Analyze and optimize code to enhance quality, efficiency, and performance.
- Lead complex technical or product initiatives and provide technical guidance to peers.
- Architect efficient and scalable systems for complex applications.
- Identify and address performance and scalability challenges.
- Work across multiple coding languages and technologies, ensuring robust and maintainable solutions.
- Establish ownership of components, features, or systems with comprehensive end-to-end understanding.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
- 7+ years of programming experience in a relevant language.
- Experience in building maintainable and testable code bases, including API design and unit testing.
- Proven ability to set technical direction for a team, drive consensus, and foster successful cross-functional partnerships.
- Experience with scripting languages such as Python, JavaScript, or Hack.
- Proficiency in programming languages like C, C++, Java, Swift, or Kotlin.
- 5+ years of experience building large-scale applications or equivalent expertise.
- Proven track record in building and shipping high-quality, reliable software solutions.
- Experience enhancing quality through code reviews, testing, monitoring, and proactive improvements.
Preferred Qualifications
- Exposure to architectural patterns of large-scale software applications.
- Demonstrated project completion at large scope with high-quality outcomes.
- Ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains and quality improvements.
- Ongoing development in AI skills, including prompt engineering, agent orchestration, and keeping abreast with emerging AI technologies.
Benefits
Delart provides competitive benefits and compensation across all regions where we operate. In the United States, our benefits package includes premium PPO and HMO medical insurance, dental and vision coverage, flexible spending accounts (FSA), life insurance, short- and long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.
Join us in shaping the future of technology. Apply today!
Delart is an equal opportunity employer. We celebrate diversity and are dedicated to fostering an inclusive workplace for all employees. We strictly prohibit discrimination or harassment of any kind based on race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.
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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
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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
Staff Engineer - Software Development
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Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
About the Role - Staff Engineer – Software Development.
Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.
We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.
Position Responsibilities
Architecture & Technical Leadership
- Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
- Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
- Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
- Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
- Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
- Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.
AI-Augmented Data Pipelines
- Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
- Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
- Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
- Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
- Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
- Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.
Backend & Microservices Engineering
- Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
- Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
- Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
- Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
- Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.
Team Influence & Collaboration
- Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
- Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
- Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
- Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
- Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.
Requirements
Experience & Education
- 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
- Strong foundation in data structures, algorithms, operating systems, and distributed systems.
- Experience working in fast-paced, high-growth technology companies with geographically distributed teams.
Backend & Microservices
- Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
- Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
- Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
- Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
- Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.
Agentic AI & LLM Integration
- Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
- Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
- Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
- Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
- Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
- Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.
Data Pipelines
- Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
- Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
- Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
- Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
- Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).
AWS & Cloud Infrastructure
- Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
- Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
- Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
- Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
- Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.
Nice to Have
- Experience fine-tuning or adapting foundation models for domain-specific tasks.
- Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
- Background in network security, cloud networking, or SASE/SD-WAN technologies.
- Experience with multi-cloud environments (Azure, GCP) alongside AWS.
- Contributions to open-source AI, data engineering, or cloud-native projects.
Interpersonal & Communication
- Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
- Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
- Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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.
CPRA - California Applicant Privacy Notice
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Sr.MTS - Software Development
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Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.
About the Role – Senior Member of Technical Staff – Software Development
Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and AI-powered capabilities.We are seeking a Senior Member of Technical Staff (Sr MTS) – Software Development to join our SaaS Platform team. This role is ideal for a backend engineer who has moved beyond writing individual features and is ready to take meaningful ownership of platform components, contribute to technical design, and start influencing the direction of the team. You will work alongside Staff and Principal Engineers on building microservices, data pipelines, and AI-integrated backend systems on AWS — developing both your technical depth and your ability to lead within a team.
Position Responsibilities:
Feature Development & Ownership
- Take end-to-end ownership of backend features and services — from requirements and design through implementation, testing, deployment, and monitoring.
- Design and implement production-grade microservices in Golang, following team standards for gRPC and RESTful API patterns.
- Contribute meaningfully to technical design discussions; author design documents for features and components you own, incorporating feedback from senior engineers.
- Write well-tested, maintainable code; champion testing practices including unit, integration, and end-to-end tests within your feature area.
- Participate in on-call rotations; debug and resolve issues in distributed backend services and contribute to post-incident reviews.
Data Pipelines & AI Integration
- Build and extend data pipeline components that process, enrich, and route platform telemetry and events using AWS streaming and batch services (Kinesis, MSK, Glue, Step Functions).
- Integrate AI and LLM capabilities into backend services and pipeline stages — including model inference calls, output parsing, and result handling — under the guidance of Staff Engineers.
- Implement agentic AI workflow components such as tool-use handlers, retrieval-augmented generation (RAG) steps, and prompt orchestration layers as part of broader pipeline designs.
- Contribute to the reliability and correctness of AI pipeline components through thorough testing, output validation, and adherence to team guardrail standards.
Platform Reliability & Operations
- Ensure backend services you build are observable from day one: structured logging, metrics, distributed tracing, and alerting are treated as part of the definition of done.
- Apply AWS networking and security best practices in the services you build: secure IAM roles, VPC-aware service communication, and encryption in transit and at rest.
- Proactively identify and address reliability gaps, performance bottlenecks, and technical debt in platform components you own.
- Support deployment of services on AWS using team CI/CD pipelines and infrastructure-as-code tooling.
Collaboration & Team Contribution
- Collaborate effectively with Staff and Principal Engineers, product managers, and peers across a geographically distributed team.
- Conduct thorough code reviews and provide constructive, actionable feedback; help MTS engineers grow through mentorship on your area of expertise.
- Document APIs, service behavior, data flows, and runbooks clearly so teammates can understand, operate, and evolve your work.
- Participate actively in planning, estimation, and sprint ceremonies; raise technical risks and dependencies early.
Requirements
Experience & Education
- 3+ years of professional software engineering experience in backend development.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Solid foundation in computer science fundamentals: data structures, algorithms, and operating systems.
- Demonstrated experience owning and shipping backend features or services in a production cloud environment.
- Experience working in collaborative, agile engineering teams; comfortable operating in fast-paced, high-growth environments.
Backend & Microservices
- Proficiency in Golang or a comparable strongly typed backend language; willingness to work primarily in Golang.
- Working understanding of microservices architecture: service boundaries, inter-service communication via REST and gRPC, and the trade-offs of distributed systems.
- Experience designing and implementing APIs with attention to correctness, reliability, and ease of use by other services.
- Familiarity with event-driven patterns and messaging systems such as Kafka, Kinesis, or SQS/SNS.
- Strong testing practices: unit, integration, and contract testing for backend services.
Agentic AI & LLM Integration
- Working knowledge of large language models (LLMs) and how they are integrated into backend systems via API calls (e.g., Amazon Bedrock, OpenAI, or Anthropic APIs).
- Familiarity with agentic AI concepts: tool use, multi-step reasoning, and agent orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
- Ability to implement prompt templates, manage context windows, and handle model outputs reliably within backend service logic.
- Understanding of retrieval-augmented generation (RAG) patterns: embedding generation, vector store queries, and context injection into prompts.
- Awareness of production considerations for AI components: output validation, error handling, latency management, and cost awareness.
Data Pipelines
- Practical experience building or contributing to data pipelines for real-time or batch processing workloads.
- Familiarity with AWS data pipeline services: Amazon Kinesis, AWS Glue, Amazon MSK (Kafka), AWS Step Functions, or Amazon EMR.
- Understanding of how to embed AI/ML model inference calls as processing steps within a data pipeline.
- Ability to add pipeline observability: tracking throughput, latency, error rates, and data quality metrics.
AWS & Cloud Infrastructure
- Hands-on experience deploying and operating backend services on AWS; familiarity with core services including EC2, ECS/EKS, S3, RDS, and SQS/SNS.
- Basic understanding of AWS networking and security: VPC, security groups, IAM roles and policies, and encrypted communications.
- Experience with containerization (Docker) and deploying services in container-based environments.
- Comfort working with CI/CD pipelines, Git-based workflows, and infrastructure-as-code tooling (Terraform or AWS CDK is a plus).
Nice to Have
- Experience with Kubernetes (EKS) for container orchestration.
- Hands-on use of Amazon Bedrock or equivalent managed AI platforms for LLM inference.
- Experience with vector databases or embedding stores (OpenSearch, pgvector, Pinecone).
- Exposure to AWS managed data services such as Amazon Redshift, DynamoDB, or Aurora.
- Background in network security, cloud networking, or multi-cloud environments.
- Interest in or exposure to ML model lifecycle management and MLOps practices.
Interpersonal & Communication
- Clear written and verbal communication; able to write design documents, articulate technical decisions, and give constructive code review feedback.
- Collaborative team player who works well in cross-functional, geographically distributed teams.
- A growth mindset — eager to deepen expertise, take on new challenges, and mentor peers as you develop.
BENEFITS
US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy.
Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend
Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.
About Aviatrix
Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.
WE WANT TO INCLUDE YOU
We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.
Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.
Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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.
CPRA - California Applicant Privacy Notice
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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?
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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
- 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
Principal Forward Deployed AI Engineer
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About the role:
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
- 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
- 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Education
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so 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 anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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Senior Engineer, AI/ML (India)
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We seek a highly skilled and experienced Senior Machine Learning Engineer with extensive expertise in multimodal generative AI models, cross-modal architectures, and multimodal fusion techniques. The ideal candidate will not only have a strong technical background spanning text, vision, audio, and video modalities, but also the drive to mentor, educate, and advocate for the adoption of new and emerging technologies.
WHAT YOU'LL NEED
- 5+ years experience in machine learning engineering, with at least 1 year focussed on generative AI or multimodal systems
- Strong hands-on experience with multimodal AI models including text-to-image, image-to-text, or other cross-modal applications
- Deep practical knowledge of either computer vision or NLP, with demonstrated ability to work across modalities
- Proficiency with generative model architectures such as diffusion models, transformer-based generative models, or GANs
- Strong programming skills in Python with extensive experience in PyTorch and HuggingFace ecosystem (Transformers, Diffusers, Accelerate)
- Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
- Proven track record of deploying ML models to production with understanding of model optimization, serving, and monitoring
- Strong problem-solving skills and the ability to think critically and creatively about novel multimodal applications
NICE TO HAVE
- A track record of published research in reputable journals or conferences (NeurIPS, ICML, CVPR, ICCV, etc.)
- Understanding of prompt engineering and guidance techniques for generative models
- Experience with model fine-tuning, LoRA, and efficient adaptation methods
ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.
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Senior Machine Learning Engineer
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Want to build the next generation of AI-powered analytics and intelligent agents for observability and security use cases? Passionate about leveraging cutting-edge machine learning, large language models, and GPU-accelerated inference to transform how organizations understand and act on their logs data? Come talk with us!
As a Senior Machine Learning Engineer, you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, context engineering and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time.
You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability.
Location: Noida/ Bengaluru (Hybrid)
Responsibilities
- Design, implement, and optimize agentic AI components, including tools, memory management, and prompts.
- Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.
- Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.
- Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
- Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes.
- Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
- Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.
Required Qualifications
- B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
- 6+ years of hands-on industry experience with demonstrable ownership and delivery.
- Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
- Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
- Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
- Experience with distributed systems and dealing with large amounts of data.
- Strong communication skills and a passion for shaping emerging AI paradigms.
Desired Qualifications
- Experience leading a team of engineers.
- Prior experience building and deploying AI agents or LLM applications in production.
- Familiarity with modern agentic AI frameworks (e.g., LangGraph, LangChain, CrewAI).
- Experience with ML infrastructure and tooling (PyTorch, MLflow, Airflow, Docker, AWS).
- Exposure to LLM Ops - infrastructure optimization, observability, latency, and cost monitoring.
About Us
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
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Apply to Sumo LogicJob Title: Python Automation Expert
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description:
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Role Description:
Hands-on engineer delivering Finance EUC automations on IT-governed platforms. Understands demand for automation, detailed requirements, and undertakes build & test, production deployment activities and RTB change implementation, following defined standards and platform guardrails. Contributes to opportunity scoping by providing technical input on feasibility and effort. Produces code, documentation and test evidence aligned to agreed closure criteria, and supports controlled deployment and post-release fixes. Works closely with the POD Lead, Finance Domain BA and platform support to ensure solutions are reliable and supportable.
Skills / Knowledge / Experience:
- Strong understanding of Python programming with Excel dependent and Pandas library, and capable of debugging Python code
- Strong data preparation, visualization, and analytics capability
- Design and deliver AI-assisted remediation capabilities
- Strong understanding of EUCs (End User Computing) and their remediation through AI
- Experience with Gen-AI tools and prompt engineering
- Skilled in IT-managed automation platforms e.g., Alteryx
- Knowledge of Finance data systems
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Apply to CapcoSecurity Engineer (Pentesting, Incident Response & Investigations)
At Talkdesk, we are courageous innovators focused on redefining customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. We give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners around the world trust Talkdesk to deliver a better way to great experiences.
Our Engineering teams follow a micro-service architecture approach to build the next generation of Talkdesk, with autonomous vertical teams owning their services end to end. We promote agile and collaborative practices, value peer reviews, and believe that true authority comes from knowledge, not position. Respect, curiosity, and continuous learning are core to how we work.
Are you passionate about breaking things to make them safer?
As a Security Engineer focused on Pentesting, Incident Response, and Security Investigations, you will play a key role in detecting, investigating, and preventing security incidents while proactively identifying weaknesses across our platforms and applications.
What you’ll do
Depending on your profile and experience, your responsibilities may include:
- Perform manual and automated penetration testing of web applications, APIs, cloud-based systems, and AI/ML models.
- Conduct security assessments of AI-driven features, focusing on risks like prompt injection, data leakage, and adversarial attacks.Conduct security investigations to identify root causes, attack paths, and impact of security incidents.Lead or actively participate in incident response, including detection, containment, eradication, and post-incident reviews.Analyze logs, telemetry, and forensic artifacts to support investigations and threat hunting activities.
- Triage, validate, and prioritize findings from internal and external penetration tests.
- Work closely with engineering teams to explain vulnerabilities, recommend pragmatic remediations, and verify fixes.
- Support the development and improvement of incident response playbooks and processes.
- Perform threat modeling (e.g., STRIDE) to identify realistic attack scenarios.
- Continuously research emerging threats, attack techniques, and exploitation methods relevant to our environment, including the evolving AI threat landscape.
- Act as a security subject-matter expert (SME) during incidents and high-risk technical discussions.
- Help improve Talkdesk’s overall security posture through lessons learned and proactive testing.
Must have
- Strong knowledge of application and systems securitySolid understanding of web technologies, networking, and common attack vectorsPractical experience with penetration testing tools and techniques
- Experience with the OWASP Top 10 for LLMs and common AI exploitation patterns
Experience conducting security investigations and incident responseUnderstanding of OWASP Top 10 and common exploitation patterns
- Knowledge of cryptographic concepts and their practical use (and misuse)
- Linux/Unix proficiency
- Experience analyzing logs and security events
- Scripting or coding experience in at least one general-purpose language (e.g., Python, Ruby, Java)
- Excellent written and verbal communication skills, with the ability to explain complex security issues clearly
- Fluent in English (written and spoken)
- Strong analytical and critical-thinking skills
- Comfortable working in fast-paced, sometimes high-pressure situations
Nice to have
- Experience testing cloud-native environments, especially AWS
- Familiarity with microservices architectures and API security
- Experience with web and mobile application security testing
- Exposure to DAST, SAST, or IAST tools (hands-on or triage-focused)
- Experience performing application architecture security reviews
- Familiarity with security standards and frameworks (e.g., ISO 27001, NIST, CIS, OWASP, SANS)
- Relevant certifications such as OSCP, OSWE, GSEC, GCIA, CISSP, or CISM
- Familiarity with technologies like Git, Ruby, Kotlin, RabbitMQ, Redis, MongoDB, or PostgreSQL
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.
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Lead AI Engineer
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
About the Team
Razorpay's agentic products are scaling fast. Agent-powered onboarding, dashboard experiences, and automation workflows are live and growing, and the engineering teams building them are moving quickly. As we scale, we need shared infrastructure that lets every product team access the best model for each task without having to build routing, observability, or resilience logic themselves.
We are building an AI Inference Platform: a centralized layer that handles intelligent model routing, cost optimization, and quality observability across all of Razorpay's agentic products. The goal is simple. Product teams declare what kind of task they need done. The platform takes care of picking the right model, managing fallbacks, and tracking cost and quality. Teams stay focused on shipping features.
About the Role
As Lead AI Engineer on the platform side, you build the inference orchestration layer that sits between our product teams and their model providers. Routing, fallbacks, cost tracking, A/B testing for model swaps, and observability are all yours. Your customers are internal engineering teams, and your job is to give them a single reliable interface to every model the org uses while keeping the complexity of that routing layer off their plates.
You also own the observability and eval-in-production infrastructure: standardized tracing and cost dashboards across all agentic products, and the shadow-testing infrastructure that lets us validate model swaps safely before they reach production traffic.
What You’ll Build
- Build and operate a unified model gateway that abstracts provider complexity for product teams. Teams work with a clean interface; the platform handles routing, provider selection, and fallback logic under the hood
- Design and implement intelligent routing that matches each request to the right model based on task complexity, latency requirements, and cost targets. Not every call needs the same model
- Build resilience into the platform so provider outages, rate limits, and latency spikes are handled transparently. Agentic workflows stay up regardless of what happens upstream
- Own the observability layer across all AI-powered products: cost per call, latency distributions, token usage, and quality signals. Give product teams and leadership a clear view of how AI is performing and what it costs
- Build the infrastructure for safe model transitions: run new models alongside production, compare outputs, and roll out changes gradually with automated quality checks at every stage
- Drive continuous cost efficiency through caching strategies, request optimization, and per-team spend attribution so the org can scale AI usage without costs growing linearly with traffic
What We’re Looking For
- 5 to 8 years as a backend or platform engineer, with a track record of building API gateways, middleware, or developer platform services at scale. Strong in Go or Python
- Experience building high-availability, low-latency distributed systems: load balancing, circuit breakers, graceful degradation, retry logic, and observability using Prometheus, Grafana, OpenTelemetry, or equivalent
- Solid understanding of LLM APIs and token economics. You can design routing rules based on input/output token pricing, streaming vs. batch tradeoffs, and how prompt length affects both cost and latency
- You think in platform terms. You know the difference between building for end users and building for engineers, and you know that internal platform quality shows up in other teams’ velocity
- Familiarity with LLM orchestration and observability tooling: LiteLLM, Portkey, Langfuse, LangChain, or similar. You do not need to have used all of them, but you need to understand the landscape well enough to make good choices
- Experience with Kubernetes and distributed systems. GPU workload scheduling or ML serving infrastructure is a meaningful bonus
Why This Role is Different
- The platform you build becomes the backbone of every AI-powered product at Razorpay. Good infrastructure decisions here compound across every team and every workflow that ships on top of it
- You work on real scale from day one. The problems are concrete, the feedback loop is tight, and the impact of what you build shows up in production metrics quickly
- This role combines deep platform engineering with the emerging discipline of LLM infrastructure. It is a rare combination that puts you at the leading edge of how AI systems are built in production
- You are embedded in the decision-making, not downstream of it. You work directly with ML engineers and product teams, and your input shapes how the org approaches model selection, cost, and quality at every level
- You get genuine ownership over the architecture. This is a space where the right patterns are still being defined, and you have the scope to make meaningful design decisions rather than inherit them
Compensation & Benefits
Competitive compensation with ESOPs, comprehensive health insurance, learning and development budget, and all the perks of working at one of India’s leading fintech companies.
Ready to apply?
Apply to Razorpay Software Private LimitedLLM Platform Engineer/Lead (m/f/d)
Berlin, Bangalore, Remote
Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.
The Team
The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:
- Handling ~2 Million Req/sec in sub-millisecond latency
- Handing & managing ~Petabytes of data
- Managing distributed systems deployed across multiple data centers
- Optimizing JVM and Linux kernel for optimal performance
- Managing our own data center spread across the globe consisting of thousand of powerful servers
- Working on some of the most challenging problems of Ad-Tech
Sounds interesting. Isn't it?
About the Role
We are looking for an LLM Platform Engineer /Lead who can evangelise AI across the company and build the foundational tooling, frameworks, and workflows that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on developer velocity, reuse, and production readiness rather than training complex models from scratch.
Responsibilities
- Design and build internal AI frameworks, SDKs, and shared libraries
- Enable teams to integrate AI features with minimal friction
- Set up standardized patterns for using LLMs, embeddings, agents, and workflows
- Build reusable components for prompt management, evaluation, observability, and safety
- Define best practices for AI usage, cost control, and reliability
- Evangelise AI internally through documentation, examples, and hands-on guidance
- Rapidly prototype AI-powered features and turn them into reusable building blocks
- Own AI tooling from experimentation to production
Requirements
AI Tooling & Framework Experience (Core Focus)
- Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
- Experience with RAG pipelines, embeddings, vector databases
- Familiarity with prompt engineering, prompt versioning, and evaluation
- Experience with AI orchestration frameworks
- Understanding of AI observability, cost monitoring, and failure modes
- You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
- Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
- Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).
Strong Engineering & Platform Skills
- Excellent Python skills (required)
- Experience building frameworks, platforms, or developer tooling
- Strong understanding of APIs, services, and system design
- Writes clean, maintainable, production-grade code
Startup Mindset
- Bias for shipping and iteration
- Can translate AI complexity into simple abstractions
- Comfortable with ambiguity and rapid change
- Thinks in terms of leverage and reuse , not one-off solutions
Less About
- Heavy model training or research
- Designing custom ML algorithms
- Academic optimization work.
Nice to have
- Experience with agent-based systems and tool calling
- Experience setting up guardrails, moderation, and safety checks
- Familiarity with Docker, cloud infra, and CI/CD
- Prior work in platform teams or enablement roles
What do we offer?
- Reporting directly to Co-founder & CTO
- Direct access to top management and an extremely “visible” role
- Exceptional career growth and learning opportunity
- A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
- A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries
- A flexible work-from-home arrangement
- A 500-dollar home-office setup budget
- A 1000-dollar annual learning and development budget
Ready to apply?
Apply to Kayzen
Senior Software Engineer [AI Solutioning]
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Here’s a summary of the role:
Ready to build real-world AI solutions that actually make an impact?
You’ll take cutting-edge AI and GenAI concepts—like copilots, agents, and intelligent workflows—and turn them into scalable, production-ready systems used across sales, finance, customer success, and more. If you enjoy hands-on backend engineering, working with APIs, cloud platforms, and LLMs, and transforming ideas into high-performing AI-driven products, this role puts you right at the center of innovation.
Here’s a breakdown of what you’ll do (not all of it, just the important stuff):
- Build and scale backend services, APIs, and integrations that embed AI/GenAI into enterprise systems (CRM, ERP, BI)
- Develop LLM-powered solutions such as RAG pipelines, copilots, agents, and automation workflows
- Take AI solutions from concept to production—design, build, test, deploy, and monitor
- Collaborate with architects and business stakeholders to turn requirements into practical AI implementations
- Create and manage data pipelines to enable reliable, high-quality AI workflows
- Ensure solutions are secure, scalable, observable, and aligned with best practices
These are the essentials you’ll need to get an interview:
- 5+ years of experience in software or solutions engineering with production systems
- Strong programming skills in Python, Java, C#, or Node.js
- Hands-on experience with APIs, integrations (REST/webhooks), and backend development
- Practical experience working with LLMs/GenAI tools (e.g., OpenAI, LangChain, or similar)
- Experience with cloud platforms (preferably AWS), CI/CD, and containerization
- Solid understanding of AI/GenAI concepts like prompt engineering, RAG, or agents
- Ability to translate technical solutions into business impact and collaborate across teams
It would be great if you had these too, but we’ll support you if you don’t:
- Experience integrating AI into CRM, ERP, or analytics platforms
- Familiarity with MLOps/LLMOps concepts such as model lifecycle and monitoring
- Exposure to machine learning or data analytics tools (e.g., Scikit-learn, dashboards)
- Experience working in global or distributed teams
- Knowledge of AI governance, security, and responsible AI practices
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Senior DevOps Engineer
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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
Ready to apply?
Apply to Get Well NetworkWHO 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
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.
Ready to apply?
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
QA Engineer
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Title: QA Engineer
Reporting to: Director, QA Engineering
Location: Bengaluru (Bangalore)
Opportunity:
We are seeking a skilled AI QA Engineer with 4–6 years of experience in test automation and a strong focus on validating AI/ML and LLM-based systems. The ideal candidate will have hands-on expertise in automation frameworks, API/UI testing, and experience in validating NLP/LLM models across complex, data-driven applications.
Key Responsibilities
- Design, develop, and maintain scalable automation frameworks for UI, API, and backend systems
- Perform end-to-end testing of AI/ML pipelines, including NLP and LLM-based applications
- Validate LLM outputs using techniques such as prompt validation, response scoring, and model comparison
- Build and execute test strategies for microservices and event-driven architectures
- Conduct data validation across systems using SQL/BigQuery and ensure data accuracy in pipelines
- Automate regression, smoke, and end-to-end test suites to improve coverage and efficiency
- Integrate automated tests into CI/CD pipelines using Jenkins or similar tools
- Collaborate with developers, data scientists, and product teams to ensure high-quality AI solutions
- Analyze defects, identify root causes, and ensure timely resolution
- Continuously improve test frameworks, tools, and processes
Required Skills & Qualifications
Automation & Testing
- Strong experience in Selenium WebDriver, RestAssured, TestNG
- Expertise in API Testing, UI Testing, and Microservices Testing
- Experience in building Hybrid/POM-based automation frameworks
Programming
- Proficiency in Java (mandatory)
- Basic working knowledge of Python
AI / ML / LLM Testing
- Experience testing NLP/LLM models (e.g., BERT, GPT-based models, QWEN, Gemini)
- Knowledge of NER validation, prompt testing, and output evaluation techniques
- Exposure to model validation, scoring mechanisms, and dataset validation
Data & Cloud
- Strong SQL skills with experience in BigQuery or similar platforms
- Understanding of event-driven systems (Pub/Sub or similar)
- Experience in validating JSON-based data pipelines
DevOps & Tools
- Experience with Jenkins, Maven, Git/Bitbucket
- Knowledge of CI/CD pipeline integration and test reporting (Allure or similar)
Good to Have
- Experience in Healthcare, OTT, or E-commerce domains
- Exposure to EMR/EHR systems or clinical data validation
- Knowledge of UMLS, CUI mapping, or healthcare NLP concepts
- Experience with mobile testing (Appium)
Experience
- 4–6 years of experience in QA Automation / SDET roles
- Hands-on experience in AI/ML or LLM validation is highly preferred
Education
- Bachelor’s degree in Engineering, Computer Science, or related field
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
Ready to apply?
Apply to Get Well Network
Principal Software Engineer, AI
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.
This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.
What You’ll Do:
- Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
- Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
- Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
- Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production
Who You Are:
Core Qualifications
- 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
- Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
- Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
- Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
- Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.
Nice to have
- Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
- Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense
Principal Software Engineer, AI
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
We are seeking a visionary and hands-on Principal AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.
This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.
What You’ll Do:
- Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
- Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
- Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
- Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production
Who You Are:
Core Qualifications
- 12+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
- Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
- Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
- Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
- Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.
Nice to have
- Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
- Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense India
Agentforce Marketing (SFMC/Marketing Cloud Engagement ) - Lead / Senior Developer
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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
- The work we do and the innovation we drive
- Our values of share, care and dare
- A workplace culture that fosters creativity, diversity and autonomy
- Our borderless, global framework, which enables seamless collaboration
The role
We are looking for a hands-on Agentforce Marketing Lead / Senior Developer with 6–8 years of experience in the Salesforce ecosystem to design, develop, and deliver data-driven, AI-enabled, omnichannel marketing solutions.
This role combines strong Salesforce Marketing Cloud (SFMC) technical expertise with exposure to modern marketing architectures, Data Cloud, and emerging Agentforce capabilities along with good hands-on experience with Treasure Data.
You will thrive in this role if you are:
- A curious problem solver who challenges the status quo
- A collaborator who values teamwork and knowledge-sharing
- Excited by the intersection of technology, creativity and data
- Experienced in Agile methodologies and consulting (a plus)
Key Responsibilities:
- Marketing Cloud Solution Development (Core Focus)
- Design and implement solutions using Marketing Cloud Engagement (SFMC)
- Develop and manage:
- Dynamic, reusable email templates
- Multi-step customer journeys
- Automation workflows
- Implement personalization using:
- AMPscript
- SSJS
- SQL
- Journey Orchestration & Omnichannel Execution
- Build journeys across:
- Email, SMS, Push, WhatsApp, Web
- Configure:
- Entry events, decision splits, engagement tracking
- Support:
- Event-driven and trigger-based campaigns
- Ensure campaigns meet business goals and maximize ROI
- Data Management & Segmentation
- Design and manage:
- Data Extensions
- Contact Builder data models
- Perform:
- Advanced segmentation, profiling, and targeting
- Ensure high-quality data selections for CRM campaigns
- Work with relational data models and SQL-driven logic
- Data Cloud & Modern Data Architecture
- Work with Data Cloud for:
- Audience segmentation
- Data unification
- Support integration with:
- CRM systems
- External platforms
- Exposure to CDP tools (e.g., Treasure Data is a plus)
- AI & Agentforce (Emerging Capability)
- Contribute to AI-driven marketing use cases
- Support:
- AI-assisted content generation
- Send-time optimization
- Prompt-driven workflows
- Collaborate with architects on agent-based marketing solutions
- Integration & APIs
- Implement integrations using:
- REST / SOAP APIs
- Enable seamless data exchange between:
- Marketing Cloud
- Sales / Service Cloud
- External systems
- Understand ETL pipelines and event-driven architecture
- Workflow Automation & Agile Delivery
- Develop end-to-end marketing workflows
- Participate in:
- Story refinement
- Requirements analysis
- Follow Agile methodologies for iterative delivery
- Code Quality, Performance & Optimization
- Write efficient and scalable code (AMPscript, SSJS, SQL)
- Optimize:
- Query performance
- Automation runtimes
- Campaign execution
- Improve architecture, processes, and system performance
- Follow best practices:
- Naming conventions
- Reusability
- Error handling
- Documentation & Technical Excellence
- Create:
- Technical designs
- Documentation
- Prototypes
- Maintain high-quality deliverables for long-term scalability
- Collaboration & Leadership
- Work closely with:
- Architects
- Business Analysts
- Marketing stakeholders
- Engage in client-facing interactions
- Take ownership of modules or tracks
- Mentor junior developers (good to have)
Required Skills & Qualifications
Experience:
- 6–8 years in Salesforce ecosystem
- 3–5+ years hands-on experience in Marketing Cloud Engagement
- Experience as a Tech Lead / Senior Consultant in SFMC
Core Technical Skills
- Strong expertise in:
- AMPscript
- SSJS (Server-Side JavaScript)
- SQL
- Deep knowledge of:
- Journey Builder
- Automation Studio
- Data Extensions
Data & Architecture
- Strong understanding of:
- Data modeling
- Segmentation strategies
- Relational databases
- Experience with:
- Data architecture
- Campaign lifecycle management
Web & Email Technologies
- Good understanding of:
- HTML
- CSS
- XML
- Experience building responsive and dynamic email templates
Integration Skills
- APIs (REST/SOAP)
- Event-driven architecture
- ETL pipelines
AI / Modern Stack (Good to Have)
- Exposure to:
- Agentforce
- Einstein AI
- Data Cloud
- Interest in:
- AI-driven marketing
- Personalization at scale
Preferred Qualifications
- Salesforce Certifications:
- Marketing Cloud Developer
- Marketing Cloud Consultant
- Exposure to:
- Personalization / Interaction Studio
- CDP platforms
Soft Skills:
- Strong problem-solving and analytical thinking
- Excellent communication (technical & non-technical)
- Customer-facing capability
- Ability to work in fast-paced environments
- Strong ownership mindset
- Adaptability and growth mindset
Preferred Industry Experience
- B2C domains:
- Retail
- Luxury
- FMCG
Ideal Candidate Profile:
A modern SFMC Lead Developer transitioning into an AI-enabled Marketing Engineer, capable of combining:
- Strong SFMC execution
- Data-driven thinking
- Emerging AI & Agentforce capabilities
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a fulltime position based in Bngaluru.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
Ready to apply?
Apply to Valtech
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.
Build and operate the production backbone that takes models from Applied Sciences (AS) and delivers reliable, low-latency ML services across Tekion’s DMS, CRM, Digital Retail, Service, Payments, and enterprise products. You’ll own pipelines, microservices, CI/CD, observability, and runtime reliability—working hand-in-hand with Applied Sciences and Product to turn ideas into measurable dealer and consumer impact.
Why this Role Matters
- Accelerate the rollout of LLM-powered and agent-driven features across Tekion products.
- Enable agentic workflows that automate, reason, and interact on behalf of users and internal stakeholders.
- Operationalize secure, compliant, and explainable LLM and agentic services at scale.
- Convert Applied Sciences models into scalable, compliant, cost‑efficient production services.
- Standardize how models are trained, validated, deployed, and monitored across Tekion products.
- Power real-time, context-aware experiences by integrating batch/stream features, graph context, and online inference.
What You’ll Do
- Turn Applied Sciences prototype models (tabular, NLP/LLM, recommendation, forecasting) into fast, reliable services with well-defined API contracts.
- Integrate with the LLM Gateway/MCP, prompt/config versioning.
- Build and orchestrate CI/CD pipelines.
- Review data science models; refactor and optimize code; containerize; deploy; version; and monitor for quality.
- Collaborate with data scientists, data engineers, product managers, and architects to design enterprise systems.
- Monitor, detect, and mitigate risks unique to LLMs and agentic systems.
- Implement prompt management: versioning, A/B testing, guardrails, and dynamic orchestration based on feedback and metrics.
- Design batch/stream pipelines (Airflow/Kubeflow, Spark/Flink, Kafka) and online features linked to our domain graph.
- Build inference microservices (REST/gRPC) with schema versioning, structured outputs, and stringent p95 latency targets.
- Manage the model/feature lifecycle: feature store strategy, model/agent registry, versioning, and lineage.
- Instrument deep observability: traces/logs/metrics, data/feature drift, model performance, safety signals, and cost tracking.
- Ensure real-time reliability: autoscaling, caching, circuit breakers, retries/fallbacks, and graceful degradation.
- Develop templates/SDKs/CLIs, sandbox datasets, and documentation that make shipping ML the default path.
Desired Skills and Experience
- 6+ years in ML engineering/MLOps or backend/platform engineering with production ML.
- Experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores.
- Strong software engineering fundamentals: Python plus one of Java/Go/Scala; API design; concurrency; testing.
- Hands-on with orchestration frameworks and libraries (LangChain, LlamaIndex, OpenAI Function Calling, AgentKit, etc.).
- Knowledge of agent architectures (reactive, planning, retrieval-augmented agents), and safe execution patterns.
- Pipelines and data: Airflow/Kubeflow or similar; Spark/Flink; Kafka/Kinesis; strong data quality practices.
- Microservices and runtime: Docker/Kubernetes, service meshes, REST/gRPC; performance and reliability engineering.
- Model ops: experiment tracking, registries (e.g., MLflow), feature stores, A/B and shadow testing, drift detection.
- Observability: OpenTelemetry/Prometheus/Grafana; debugging latency, tail behavior, and memory/CPU hotspots.
- Cloud: AWS preferred (IAM, ECS/EKS, S3, RDS/DynamoDB, Step Functions/Lambda), with cost optimization experience.
- Security/compliance: secrets management, RBAC/ABAC, PII handling, auditability.
Preferred Mindset
- Product-oriented: You measure success by dealer and consumer outcomes, not just technical metrics.
- Reliability- and safety-first: You move fast with guardrails, rollbacks, and clear SLOs.
- Systems thinker: You design for multi-tenant scale, portability, and cost efficiency
- Collaborative: You translate between Applied Sciences, Product, and the Data & AI Platform; you document and teach.
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.
Ready to apply?
Apply to Tekion
Senior 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.
Senior Software Engineer - Senior Machine Learning Platform
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
- 5 - 7 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.
Ready to apply?
Apply to Tekion
Why project44?
At project44 we’re on a mission - to make supply chains work.
project44 optimizes the movement of products globally, delivering better resiliency, sustainability, and value for our customers. As the supply chain connective tissue, we operate the most trusted end-to-end visibility platform that tracks more than 1 billion shipments annually for the world’s leading brands. The undisputed leader in the market, project44 was named the Leader in the Gartner Magic Quadrant, #1 in FreightWaves’ FreightTech 25, and the Customer’s Choice in Gartner Peer Insights’ Voice of the Customer report. project44 is headquartered in Chicago with a diverse and fast-growing, global workforce.
If you’re eager to be part of a winning team that works together to solve some of the most challenging supply chain challenges every day, let’s talk.
Key Accountabilities:
- Take ownership of customer issues and sees issues through to resolution. This includes, but is not limited to:
- Diagnosing, troubleshooting, and identifying solutions to reported problems
- Identifying potential code bugs and escalating as needed
- Maintaining prompt, ongoing, and accurate communications to customers and 3rd party stakeholders throughout the course of a reported issue.
- Participating, with assistance, in customer calls as needed
- Gain comfort with database queries and review of data
- Consistent agreed-upon performance levels goals/metrics reached
- Lead Customer calls for issue resolution, education or escalation
- Take ownership of expanding internal and external knowledge base via technical notes and customer-facing articles
- Assist colleagues with continuing education when available.
Requirements & Skills:
- BS degree in Information Systems, Computer Science, or equivalent experience
- Minimum 1+ yrs in customer-facing technical support, IT support or as a technical engineer
- General understanding of software flow, execution, and development processes
- Basic understanding of API and cloud technology, including basic database knowledge and utilities for monitoring and logging API transactions is helpful
- Strong problem-solving skills
- Excellent time management and multi-tasking skills
- Excellent client-facing, English written and verbal skills
- SQL intermediate
Work from office expectations: This role requires you to operate from office all 5 days in a week.
Diversity & Inclusion:
At project44, we're designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. We’re focused on creating a company where all team members can bring their authentic selves to work every day.
We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture.
project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!
For any accommodation needed during the hiring process, please email heena.mehta@project44.com. Even if you don’t meet 100% of the above job description you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
Ready to apply?
Apply to project44
Senior Software Engineer - MERN
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Here’s a summary of the role:
Build end-to-end scalable applications, from intuitive React frontends to high-performance Node.js microservices, while leveraging AI to move faster and smarter. You’ll work across the full stack using React, Node.js, TypeScript, and AWS serverless to deliver modern SaaS solutions. This role is ideal if you enjoy owning features from UI to backend, using AI tools to boost productivity, and solving real-world engineering challenges with clean, scalable architecture.
Here’s a breakdown of what you’ll do:
- Build and deliver full-stack features using ReactJS, Node.js, and TypeScript
- Design and develop secure, scalable backend services using AWS serverless
- Own features end-to-end—from frontend UI to backend APIs and deployment
- Use AI tools to accelerate development, debugging, and testing while ensuring quality
- Collaborate with Product, Design, DevOps, and Security teams to deliver seamless user experiences
- Contribute to architecture decisions and mentor team members on best practices
These are the essentials you’ll need to get an interview:
- 5–7 years of experience as a full-stack engineer in an agile environment
- Strong hands-on expertise in ReactJS (mandatory) and modern frontend development
- Solid experience with Node.js and TypeScript for backend/API development
- Experience building and deploying applications on AWS (serverless preferred)
- Practical exposure to AI tools (LLMs, prompt engineering) in development workflows
- Good understanding of databases (SQL/NoSQL) and system design fundamentals
- Experience with CI/CD, Docker, and modern development practices
It would be great if you had these too, but we’ll support you if you don’t:
- Experience with microservices architecture and event-driven systems
- Exposure to RAG, vector databases, or AI-powered applications
- Familiarity with infrastructure as code (CDK/Terraform)
- Understanding of AI governance, privacy, or ethical considerations
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and Know Your Rights. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.
Ready to apply?
Apply to Diligent Corporation
Senior Software Engineer (AI Applications)
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.
Requirements:
Must have
- 6+ years of experience as a software engineer, primarily with Python
- Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
- 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs).
- Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
- Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
- Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
- Excellent communication, organizational, problem-solving, debugging, and analytical skills.
Great to have
- Experience in async processing of data at scale
- Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
- Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
- Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
- Previous experience in data extraction from specific domains (e.g., financial reports, news).
Responsibilities:
- Deploy LLM based production grade solutions.
- Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
- Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
- Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
- Integrate and manage LLM Observability to trace, debug, and monitor every extraction
- Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense India
Senior Software Engineer (AI Applications)
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role:
Seeking a passionate Senior Engineer to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.
Requirements:
Must have
- 6+ years of experience as a software engineer, primarily with Python
- Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
- 2+ years of hands-on experience building and deploying applications that use Large Language Models (LLMs).
- Experience in extracting structured JSON from text using LLMs and a deep understanding of Prompt Engineering.
- Proficiency in classic NLP libraries for tasks like NER, text classification, and pre-processing.
- Experience with LLM tracing, debugging and evaluation platforms such as Langfuse.
- Excellent communication, organizational, problem-solving, debugging, and analytical skills.
Great to have
- Experience in async processing of data at scale
- Using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
- Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
- Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
- Previous experience in data extraction from specific domains (e.g., financial reports, news).
Responsibilities:
- Deploy LLM based production grade solutions.
- Fine-tune and adapt State of the art LLMs for specialized data extraction tasks. Develop innovative prompt engineering strategy and systems to maximize reliability and performance on confidential business documents.
- Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
- Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
- Integrate and manage LLM Observability to trace, debug, and monitor every extraction
- Own systems end-to-end, including(but not limited to) designing, coding, monitoring, testing, CI/CD and on-call support.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense
Staff AI Platform Engineer
Share this job
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role
AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.
This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.
What You'll Do
- Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
- Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
- Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What We're Looking For
Required:
- 8+ years building and operating distributed systems in production
- Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
- Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Preferred:
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Impact You'll Have
Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense
Principal AI Platform Engineer
Share this job
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role
AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.
This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.
What You'll Do
- Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
- Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
- Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What We're Looking For
Required:
- 12+ years building and operating distributed systems in production
- Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
- Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Preferred:
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Impact You'll Have
Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense
Staff AI Platform Engineer
Share this job
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role
AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.
This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.
What You'll Do
- Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
- Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
- Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What We're Looking For
Required:
- 8+ years building and operating distributed systems in production
- Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
- Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Preferred:
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Impact You'll Have
Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense India
Principal AI Platform Engineer
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About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Role
AlphaSense is seeking an experienced engineering leader to transform how we build and operate AI-powered systems at scale. You'll join a team of brilliant engineers who've built cutting-edge AI applications, and your mission will be to bring world-class engineering practices that ensure these innovations run reliably for our enterprise customers.
This is a unique opportunity for a seasoned engineer who thrives on building robust platforms, mentoring talented teams, and establishing engineering excellence. You'll have significant autonomy to shape our technical architecture while working with frontier AI models and agentic systems that power market intelligence for the world's leading companies.
What You'll Do
- Architect for Scale: Design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: Establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: Mentor a team of smart, motivated engineers, sharing your experience in building production systems that don't break at 3 AM
- Drive Platform Evolution: Own the technical roadmap for our AI platform, making architectural decisions that will shape our systems for years to come
- Bridge AI and Engineering: Collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What We're Looking For
Required:
- 12+ years building and operating distributed systems in production
- Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
- Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Preferred:
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Impact You'll Have
Within your first year, you'll transform how we build and operate software. You'll reduce incidents, establish testing and observability standards that become part of our DNA, and build platforms that enable other engineers to ship faster and safer. Most importantly, you'll elevate an entire team of engineers, sharing the expertise that only comes from years of building systems at scale.
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Ready to apply?
Apply to AlphaSense India
Staff 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
This is a senior IC role for a backend specialist who can alternate between two operating modes: (1) shaping platforms that many product teams build on, and (2) diving deep with a team to crack a hard, high-stakes technical problem. You will also build AI-native capabilities into our platform (LLM orchestration, evaluation, cost and latency controls, guardrails), build novel systems, and raise the reliability, performance, and developer experience across services.
You will partner across multiple product groups, write crisp technical strategy, and be the engineer others look to for judgment, taste, and depth.
What you’ll do
- Align engineering roadmap with business outcomes. Translate company goals and customer needs into a technical roadmap. Communicate trade-offs and decisions in plain language
- Design and evolve core platforms for APIs, data, and AI that are scalable, observable, secure, and cost-aware ( thousands of concurrent assistant sessions, bursty traffic).
- Embed AI as a first-class concern: request orchestration, evaluation harnesses, guardrails and safety, prompt and data governance.
- Partner to deliver impact: Work with product managers and, when needed, customer-facing teams to drive impact.
- Mentor: raise the bar through reviews, design reviews, and hands-on pairing; be a model others emulate.
Who you are
- Backend/platform engineer with over 8 years of experience building and operating production-grade services with clear ownership of outcomes.
- Strong in system design and distributed systems, with hands-on experience across cloud platforms (AWS/GCP), containers & Kubernetes, Infrastructure as Code (Terraform), and CI/CD automation.
- Depth in one or more of Go, Java, Ruby, Python, or JavaScript, and ability to quickly learn new languages and frameworks.
- Proficient with Postgres/MySQL and NoSQL databases, and experienced in event-driven architectures using Kafka or similar for streaming and async
- Excellent communicator who writes clear documentation, explains trade-offs simply, mentors peers, and influences across teams without direct authority.
Even better if you have
- Exposure to AI systems in production such as LLM gateways, prompt or model evaluation and guardrails.
- Experience improving developer experience across the company.
- Public artifacts such as design write-ups, talks, or OSS contributions.
You’ll thrive in this role if
- You communicate with clarity and empathy, engaging both technical and non-technical stakeholders to build shared understanding and drive complex decisions forward.
- Balance long-term decisions with fast, incremental delivery.
- Care about developer experience as much as raw performance and reliability.
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.
Linkedin | X | Blog | Instagram | Life@HackerRank
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.
Ready to apply?
Apply to HackerRank Careers
Software Engineer II - (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.
Desired Skills & Experience
- 4 - 5+ 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.
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.
Ready to apply?
Apply to Tekion
Senior 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
- 5+ - 8+ 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.
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.
Ready to apply?
Apply to Tekion