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Machine Learning Engineer, Chakra

HackerRank Careers · Hybrid in Bangalore, India

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Engineering Hybrid in Bengaluru, India Posted May 8, 2026

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

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

You have built and shipped agentic or conversational AI systems in production, not just prototypes.
You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

Experience building multi-turn conversational agents or interview-style AI systems.
Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
Background in dialogue systems, conversational evaluation, or rubric-based scoring.
Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has.
You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

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

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HackerRank Careers

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Machine Learning Engineer, Evaluation

HackerRank Careers · Hybrid in Bangalore, India

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Engineering Hybrid in Bengaluru, India Posted May 8, 2026

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

How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.

Open Problem
How do you measure skill when AI is already in the room?

Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.

For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."

We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?

HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.

What you will do

Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale.
Own the evaluation methodology end to end- what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias.
Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it.
Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them.
Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do.
Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust.

Who you are

You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves.
You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model.
You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented.
You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you.
You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job.

Even better if you have

Experience building evaluation frameworks for generative or conversational AI systems.
Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale.
Publications or open-source contributions in LLM evaluation, benchmarking, or alignment.
Prior work at the interface of research and product, where you had to ship science, not just publish it.

You will thrive here if

You find the measurement problem as interesting as the model problem, maybe more interesting.
You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain.
You want your work to define what good looks like in a field that is just now figuring that out.

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

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HackerRank Careers

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Staff Software Engineer(MLOps)

Toast · Bangalore

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R & D : Engineering : Fintech Data Science & AI Bangalore, India Posted May 8, 2026

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future.

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently.
Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach.
Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Ready to apply?

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Toast

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Sr. Machine Learning Operations Engineer

Smartsheet · Bangalore, INDIA

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Business Intelligence & Ops India Posted May 7, 2026

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.

Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective.

You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office.

You Will:

Model and Pipeline Automation

Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices.
Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models.
Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models.

Governance & Compliance

Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.

Performance Monitoring

Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation.
Incorporate user feedback for iterative improvements and manage necessary model retraining cycles.

Cross-Functional Collaboration

Act as the "glue" between Data Scientists (who build models) and Software Engineers (who consume them).
Partner effectively with software engineers, product managers and business functions to integrate the machine learning solutions across smartsheet.

Architecture and Infrastructure Management

Provision and manage scalable cloud infrastructure using Infrastructure as Code (IaC).
Provide architectural guidance and mentorship to a team consisting of ML engineers, data scientists and analytics engineers.
Distill complex ML concepts into easy-to-follow technical documentation.

You Have:

5+ years of experience with creating, deploying and scaling machine learning solutions in a cloud environment (eg. AWS, GCP, Azure) and ability to use tools such as SageMaker, Glue, Lambda, Docker etc. to create ML models and data pipelines.
7+ years of programming experience in languages used in AI/ML (eg python, scala etc)
4+ years of experience in developing deep learning and traditional ML models using common frameworks like pytorch, tensorflow, huggingface, scikit-learn etc.
Strong applied data science skills - ability to recognize data patterns, understand how and when to use various machine learning approaches (eg. supervised/unsupervised learning, deep learning etc.), and evaluate the performance of ML algorithms.
Proven ability to remain up-to-date with the latest advancements in Generative AI approaches (eg. OpenAI, LangChain, Stable Diffusion APIs).
Experience developing, documenting, and supporting REST APIs
A degree in Computer Science, Engineering, or a related field or equivalent practical experience.

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

#LI-Remote

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Senior Analyst, Model Risk Management

Toast · Bangalore, India

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G & A : Compliance Bangalore, India Posted May 7, 2026

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities)

Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring

Diversity, Equity, and Inclusion is Baked into our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.

We Thrive Together

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Ready to apply?

Apply to Toast

Toast

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People Operations Intern

Rubrik Job Board · Bangalore

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People Bangalore, India Office Posted May 7, 2026

We are looking for a forward-thinking intern who lives at the intersection of Human Resources, Process Architecture, and Artificial Intelligence. You won't just be managing paperwork; you will be the architect of our digital transformation. Your mission is twofold: optimizing our talent acquisition engine using AI, and mapping the "Rubrik Journey" by streamlining workflows and building a world-class internal knowledge base.

What You’ll Do:

AI & Systems Integration: Assist in the rollout of AI to revolutionise how we source and engage talent, ensuring seamless connectivity across our tech stack.
TA Process Architecture: Design and scale standardised recruitment workflows—from intake meetings to offer generation—to ensure a high-velocity, bias-free hiring experience.
Process Mapping & Architecture: Partner with HR, Payroll, and IT to document end-to-end workflows (onboarding, internal mobility, etc.) to bring clarity to global People processes.
Knowledge Management: Build and maintain an AI-ready "PeopleOps Wiki," ensuring employees and candidates have self-service access to human-friendly information.
Data-Driven Insights: Create dashboards to track the efficacy of AI-driven sourcing and identify "moments of truth" in the employee lifecycle to boost retention.
Enablement: Create "How-To" guides and lead training sessions for the global team on new AI features and standardised SOPs.

Who You Are:

The Tech-Savvy HR Pro: Pursuing an MBA/Master’s in HR, Business, or Data Science with a genuine obsession with Generative AI and automation.
AI Systems Fluency: You’ll act as our "AI specialist", using tools like Glean for cross-platform knowledge retrieval. You will assist the team in using LLMs (like Claude or Gemini) to synthesise complex policy documents and help structure data to improve our internal workflows.
Data Literacy: Ability to use Google Sheets to track "What’s working?" and "What’s not?" using basic formulas and charts.
Workflow Mapping: You can visualise a journey (like a new hire’s first day) and identify exactly where the "friction" or "manual gaps" are.
Detail Auditing: A "sharp eye" for catching errors in policy documents or data sets before they reach the employee.
Clarity-First Communicator: You can translate "legal-speak" and complex policies into simple, engaging, and inclusive language

Join Us in Securing and Accelerating the World's AI Transformation

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.

Linkedin | X (formerly Twitter) | Instagram | Rubrik.com

Inclusion @ Rubrik

At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.

Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.

Our inclusion strategy focuses on three core areas of our business and culture:

Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.

Equal Opportunity Employer/Veterans/Disabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

EEO IS THE LAW

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AI Engineer

ChargePoint · Bengaluru, Karnataka, India

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2504 - NOC IN-Karnataka-Bangalore Posted May 7, 2026

About Us

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
Background in computer vision, image processing, or visual transformer architectures
Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
Experience working with massive datasets (50TB+) and building scalable data pipelines
Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
Familiarity with RLHF-style preference tuning and model alignment techniques
Experience with observability and monitoring stacks including metrics, logging, and tracing
Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.

If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.

ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.

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NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS

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Senior Data and Analytics Engineer

Everpure · Bangalore, India

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Finance Office - India (Bangalore - 1 Sobha) Posted May 6, 2026

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
Be a data architect for Finance , bring different data into cohesive and answer critical questions
Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
Scale data infrastructure to support large volumes and complex financial models.
Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
Translate complex financial concepts and KPIs into scalable, maintainable data models.
Implement strong controls for data quality, lineage, and governance.
Maintain clear documentation of data transformations, metric definitions, and AI model logic.
We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise
Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
Experience with data orchestration tools (Airflow, dbt) and tableau platform
Hands-on experience with Python, PySpark, or R for automation and model integration.
Proven ability to translate financial logic into scalable data models.
Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred.
Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
Ability to evaluate and apply AI responsibly in financial contexts.

#LI-ONSITE

WHAT YOU CAN EXPECT FROM US:

Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.

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India Benefits & AI Operations Intern

Rubrik Job Board · Bangalore

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People Bangalore, India Office Posted May 6, 2026

About the Team & Role

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Our Global Benefits team is dedicated to ensuring Rubrikans are supported through every stage of their journey.

As our India Benefits & AI Operations Intern, you will play a pivotal role in our own AI transformation. Reporting to the Manager of India Benefits, you will bridge the gap between human-centric support and cutting-edge technology. Your mission is to audit, structure, and modernize our benefits data so it can be seamlessly leveraged by AI tools, ensuring our employees get the right answers at the right time.

What You’ll Do

Build the Foundation: Develop a fully functioning, AI-ready knowledge base for all India benefits (employee-facing) to provide instant, clear support.
Market Benchmarking: Research and benchmark India benefit trends and competitive offerings to ensure Rubrik’s programs remain market-leading, inclusive, and aligned with our EVP.
Optimize Internal Ops: Create internal-facing documentation for India and APAC benefits processing to streamline workflows for the Global Benefits team.
AI Data Auditing: Review and refine existing policy documents to ensure they are structured for high-performance AI tools like NotebookLM or similar LLM platforms.
Enhance Jira Service Management: Build out and refine knowledge articles within the Jira help desk to improve self-service capabilities.
Process Automation: Identify and propose opportunities to leverage AI to automate manual benefit administration tasks.
Cross-Functional Collaboration: Partner with HR Operations and IT to ensure benefits data is accessible, inclusive, and accurate across all internal platforms.

What You’ll Bring

Academic Focus: Currently pursuing a degree in Human Resources, Business Administration, Data Science, or a related field.
Technical Curiosity: High tech-fluency with a deep interest in how Generative AI and automation can transform People Operations.
Communication Excellence: Ability to translate complex benefit policies into simple, accessible, and inclusive language.
Analytical Mindset: Strong attention to detail with the ability to audit large sets of information and conduct market research.
Problem-Solving: A proactive approach to identifying manual gaps and proposing digital-first solutions.
Collaborative Spirit: Comfortable working in a fast-paced, global environment with a focus on team-oriented outcomes.

Nice to Have

Familiarity with Jira Service Management or similar help desk ticketing systems.
Basic understanding of India statutory benefits (EPF, ESI, Gratuity).
Experience with data structuring or competitive research projects.

What You’ll Gain

Impact: You won't just be "learning"—you will be building the actual infrastructure Rubrik uses to support its employees.
Growth: Direct mentorship from seasoned benefits leaders with over 15 years of experience in the India market.

Empowerment: The autonomy to experiment with AI tools and shape how we deliver benefits in the AI era.

Join Us in Securing and Accelerating the World's AI Transformation

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.

Linkedin | X (formerly Twitter) | Instagram | Rubrik.com

Inclusion @ Rubrik

At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.

Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.

Our inclusion strategy focuses on three core areas of our business and culture:

Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.

Equal Opportunity Employer/Veterans/Disabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

EEO IS THE LAW

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Senior Manager - Platform & Architecture

Rubrik Job Board · Bengaluru, India

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Information Technology & Services Bangalore, India Office Posted May 6, 2026

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
Guide architectural decisions to support scalability, performance, security, and future growth.
Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
Set goals, conduct performance reviews, and support career growth and skills development
Ensure effective workload planning, prioritization, and resource allocation
Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
Define scalable patterns for batch, near real time, and streaming data processing
Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
Collaborate with security and compliance teams to meet regulatory and data privacy requirements
Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

Drive the self-service analytics strategy to empower analysts and business users
Design curated, governed data layers and semantic models for trusted self-service access
Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
Partner with stakeholders to align data products with business needs

Experience you'll need:

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
Strong experience designing and implementing modern data architectures and cloud data platforms.
Hands-on and architectural experience with:
- Snowflake or similar cloud data warehouse/data lake experience
- Tableau or similar BI tools
- Fivetran or equivalent ingestion tools
- dbt or similar data transformation frameworks
Proficiency in SQL, Python, Spark, and data modeling techniques.
Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

Experience with advanced analytics, forecasting, and predictive modeling.
Knowledge of ML/AI platforms and MLOps concepts.
Strong understanding of data security, governance, and compliance frameworks.
Excellent communication and stakeholder management skills.
Experience working in large-scale or enterprise Data & Analytics environments.

Join Us in Securing and Accelerating the World's AI Transformation

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real-time guardrails, fine-tuning for accuracy and undoing agentic mistakes.

Linkedin | X (formerly Twitter) | Instagram | Rubrik.com

Inclusion @ Rubrik

At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.

Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.

Our inclusion strategy focuses on three core areas of our business and culture:

Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.
Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.
Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.

Equal Opportunity Employer/Veterans/Disabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at hr@rubrik.com if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

EEO IS THE LAW

NOTIFICATION OF EMPLOYEE RIGHTS UNDER FEDERAL LABOR LAWS

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Senior Applied Value Engineer - UKI Oil & Gas

Celonis · Bangalore, India

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Value Engineering Bangalore, India Posted May 6, 2026

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

Role Description

As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
Ensure Successful Project Outcome: Senior Applied Value Engineer stay involved with projects until agreed value & adoption thresholds are reached
Specialize in Domains or Industries: To scale knowledge across the organization Senior Applied Value Engineer specialize in domains (e.g. supply chain) and industries

Requirements:

6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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Celonis

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Associate (Spanish)

Sama · Bangalore, India

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GSD Bangalore, India Posted May 6, 2026

About the role:

We are looking for highly skilled Associates who will be part of the Service Delivery team in India. The role involves reviewing and classifying industry product data to support accurate product search and discovery on client platforms. The Associates will follow defined guidelines, meet quality and productivity targets, work closely with the team, and adapt to changing processes and tools in a fast-paced environment

Responsibilities:

Review, tag, and classify retail product data (including product titles, descriptions, images, and attributes) to improve search relevance and product discoverability.
Apply standardized guidelines and classification rules consistently across tasks.
Identify data discrepancies, missing attributes, or ambiguous cases and escalate them to the team lead when necessary.
Maintain high standards of data accuracy, completeness, and consistency while meeting defined quality thresholds and turnaround times.
Perform quality checks by reviewing, correcting, or reprocessing data to ensure compliance with program requirements.
Remove duplicate or incorrect entries to maintain a clean and reliable product catalog.
Collaborate with team members and contribute to shared goals and continuous improvement initiatives.
Perform additional related tasks as assigned to support product search and classification programs.
Demonstrate flexibility by adapting to changes in guidelines, tools, or workflows, and transitioning to new processes or task types as required by business needs.

Qualifications:

Bachelor’s degree in any discipline.
Minimum C1 Level of Proficiency in Spanish
Good written communication skills in English.
Strong attention to detail with the ability to follow structured guidelines and taxonomies.
Basic understanding of e-commerce or retail product catalogs.
Ability to process repetitive tasks accurately while meeting quality and productivity targets.
Proficiency with computers and common tools (spreadsheets, web-based platforms).
Ability to work independently as well as collaboratively in a team environment.

Preferred Qualifications:

Prior experience in e-commerce, retail operations, data annotation, search relevance, or product catalog management.
Familiarity with product taxonomies, ontologies, or classification systems.
Experience working on search relevance, query-product matching, or product attribute enrichment tasks.
Comfort working with large datasets and rule-based decision frameworks.
Exposure to quality assurance processes or audit-based workflows.
Ability to quickly learn new tools, guidelines, and domain-specific concepts.
Be inquisitive and eager to learn in a dynamic and fast-paced environment
Have strong communication skills, both verbal and written
Take pride in everything they do and be motivated to go above and beyond what is expected
Possess excellent web research skills
Demonstrate keen attention to detail
Have the ability to work with a sense of urgency
Have good time-management skills
Have the ability to communicate effectively with people from diverse backgrounds and cultures
Be a strong team player

NB: This is a temporary, project-based position with the possibility of renewal. While this role will be on payroll, please note that benefits are not included as part of this position.

About Sama

Sama provides high-quality training data that powers AI technology for Fortune 2000 companies such as Google, Walmart, Ford, Microsoft, and Marriott. We’re experts in data annotation, supporting text, 2D, 3D image, video, and sensor data for machine learning algorithms and generative AI models. Sama offers the highest quality SLAs in the industry, along with cutting-edge ML-assisted annotation tools, QA processes, and security and compliance standards.

Founded in 2008 on the belief that “talent is equally distributed, but opportunity is not”, Sama is driven by the mission to expand opportunities for those who are underprivileged. As a certified B-Corp, Sama has provided worker training programs to increase economic opportunity for more than 15,000 people from underserved communities. By connecting our customers with amazing talent in East Africa, we've impacted more than 69,000 workers and their dependents.

Today, our vision is to provide data scientists, ML engineers, and data operations teams with an indispensable, integrated platform for AI data preparation, labeling, and collection.

For more information, visit www.sama.com.

More information can be found at:

Our Culture:

Sama is quite unique. We are a technology company with a social mission. People that thrive in a high-growth environment, love working on the bleeding edge of technology, and really care about having a positive impact on the world are a great fit for the Sama culture. Our core values are One Team, One Goal - Deliver. Period. - Trust & Transparency - Customer First - Humanity.

Our Benefits:

Sama offers competitive compensation commensurate with experience and a full benefits package, including: medical, dental, and vision insurance, long-term disability insurance, life, and AD&D insurance, employer-matching Group RRSP, generous holiday and vacation policies, a monthly fitness stipend, monthly cell phone reimbursement and professional development opportunities. Our Talent Acquisition team would be happy to discuss our benefits packages with you in more detail during the interview process.

At Sama, we pride ourselves in being a diverse and equal opportunity employer.

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Sama

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Staff AI Engineer

ChargePoint · Bengaluru, Karnataka, India

Apply now

2504 - NOC IN-Karnataka-Bangalore Posted May 6, 2026

About Us

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
Background in computer vision, image processing, or visual transformer architectures
Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
Experience working with massive datasets (50TB+) and building scalable data pipelines
Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
Familiarity with RLHF-style preference tuning and model alignment techniques
Experience with observability and monitoring stacks including metrics, logging, and tracing
Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.

If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.

ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.

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Senior Applied Value Engineer

Celonis · Bangalore, India

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Value Engineering Bangalore, India Posted May 5, 2026

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

Role Description

As a Senior Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
Ensure Successful Project Outcome: Senior Applied Value Engineers stay involved with projects until agreed value & adoption thresholds are reached
Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

6+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Ready to apply?

Celonis

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Senior Applied Value Engineer

Celonis · Bangalore, India

Apply now

Value Engineering Bangalore, India Posted May 5, 2026

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

The Team:

The Celonis Value Engineering (VE) team is focused on managing the entire customer value lifecycle, from sales through value realization, renewal and expansion. As a Value Engineer - India, your primary focus will be supporting our GCC's (Global Competency Centers) across the Adopt and Expand phases of our customer value journey. This team will be a part of the Global VE CoE spearheading our mission of data-driven business transformation with our customers.You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The Role:

As an Applied AI Value Engineer you are pushing the envelope in solving mission-critical problems for our customers. You will be working with our most strategic customers, understanding their strategy and key challenges, and building Celonis solutions using cutting edge AI technologies of market leaders such as Microsoft and OpenAI. With Celonis’ market leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

The work you’ll do:

AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
Hackathons & Prototyping: Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

The qualifications you need:

Requirements:

4+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Ready to apply?

Celonis

View all jobs →

Software Engineer II, DB Server

Aerospike · Bangalore, India

Apply now

Engineering Bangalore, India Posted May 5, 2026

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases.

Headquartered in Mountain View, California, with offices in London, Bangalore, and Tel Aviv. Aerospike is the uncontested leader in next-generation, always-on, hyperscale data solutions. Unlike legacy NoSQL systems, our patented Hybrid Memory Architecture unlocks today’s hardware to deliver unimaginable performance and value for the most demanding data workloads—from the edge to the core, to the cloud.

As a Software Engineer at Aerospike, you will play a pivotal role in advancing our high-performance, low-latency platform by developing core systems software with a strong emphasis on performance, reliability, and efficiency. Experience with kernel modules or filesystems is a plus, though not a core focus of this role. You will collaborate with project managers, performance engineers, and quality engineers to align development with business needs and ensure quality.

This is a hybrid role.Employees are expected to work from the Bangalore office 2-3 times a week.

Responsibilities

Design and implement systems-level software, especially in areas related to networking, low-level I/O, and hardware interfaces.
Develop high-performance, low-latency code for interacting with storage and network hardware.
Debug and optimize OS-level issues across Linux-based environments.
Ensure system quality through rigorous testing and benchmarking.
Work with storage hardware to optimize performance.

Minimum Qualifications

Fluent in C or C++ with deep understanding of low-level programming and memory management.
Strong understanding of OS internals – threading, concurrency, memory management, and I/O subsystems.
2-4 years of experience in systems-level software development, such as databases, networking, kernel, drivers, RTOS, embedded, or firmware.
Experience shipping and deploying performance-critical systems in production environments.
Self-motivated problem solver – you know when to execute, when to ask for help, and how to drive projects to completion.

Preferred Qualifications

Experience with large distributed systems software internals, such as Lustre or Ceph.
Knowledge of the CAP theorem and/or distributed consensus protocols (Paxos, Raft, etc.).
Familiarity with low-level performance optimization techniques for high-throughput data processing.
Knowledge of ACID, consistency models and indexing techniques.
Experience with filesystems or Linux kernel development or tuning.
Familiarity with PCIe, NVMe, DMA, RDMA, epoll, io_uring, or other low-level interfaces.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Ready to apply?

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Aerospike

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Senior People Analytics and Insights Analyst

Kaseya Careers · Bangalore, India

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HR Operations IN Bangalore - Tower B Posted May 5, 2026

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.

Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.

Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike.

At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

We are seeking a deeply curious, technically strong People Analytics professional to transform Human Resources, Talent Acquisition, and labor market data into a unified strategic engine within Power BI. In this role, you will operate as an equal parts data engineer, analyst, and storyteller, building scalable data pipelines and translating complex datasets into executive-ready insights that guide the global workforce and hiring decisions. You will own the data narrative for workforce and talent strategy, helping leaders move beyond reporting what happened to understand why it happened and what to do next. By connecting insights across HR systems, recruiting platforms, and labor market intelligence, your work will ensure hiring. Workforce planning and talent investment decisions are guided by clear, reliable, and actionable data.

Roles & Responsibilities

Integrated Strategic Storytelling. Deliver unified workforce and recruiting insights by synthesizing data from Oracle HCM, Greenhouse, and external sources, translating HR metrics into executive-ready narratives through trend analysis, root-cause insights, and clear links to business outcomes.
Analytics Transformation. Drive the shift from reactive reporting to proactive analytics by building automated pipelines, predictive models, and self-service reporting that improve decision speed and reduce manual data pulls.
Cross-Functional Data Partnership. Partner across HR, Talent Acquisition, Finance, and Data Engineering to ensure workforce and recruiting data is accurate, consistent, and translated into insights that improve hiring outcomes and workforce planning.
Data Architecture & Engineering Collaboration. Work with Data Engineering to design and maintain Snowflake pipelines, ensuring seamless integration between Oracle HCM, Greenhouse, and reporting layers that support executive decision-making.
Advanced Power BI Development. Build and maintain Power BI dashboards and semantic models that provide real-time visibility into workforce, recruiting, and labor market trends while enabling scalable self-service reporting.
Oracle HCM Reporting Expertise. Develop scalable enterprise reporting and complex data extracts, ensuring the accuracy, reliability, and scalability of workforce and recruiting datasets.
Data Advocacy & Insight Culture. Champion a data-driven culture by enabling HR and Talent Acquisition teams to interpret analytics confidently, ask better questions, and use insights to build compelling quarterly and annual workforce narratives.
Labor Market Intelligence. Analyze talent supply, competitive hiring dynamics, and compensation benchmarks to provide market-informed recommendations that guide global hiring strategy, workforce location decisions, and talent competitiveness.

Required Qualifications

Bachelor's degree in human resources, Information Systems, Business, Data Science, or related fields
5+ years of experience in HR analytics, Talent Acquisition analytics, or people data environments within complex or global organizations that include experience translating complex multi-source data into clear narratives and insights that influence leadership decisions and workforce strategy.
4+ years of experience developing advanced dashboards in Power BI, including star-schema data modeling, advanced DAX calculations, and row-level security for executive reporting environments.
2+ years of SQL experience with querying and transforming complex datasets while bridging backend data structures and front-end analytics tools.
2+ years of experience with Microsoft Excel including PivotTables, complex formulas, and lookup functions for analyzing and reporting large datasets.
1+ years of hands-on experience with Oracle HCM including building, developing and publishing reports and/or dashboards.

Preferred Qualifications

Strong understanding of HR metrics and recruiting KPIs, such as headcount, turnover, recruiting funnels, hiring plan attainment, diversity hiring progress, and workforce movement.
Hands-on experience with Greenhouse or similar ATS platforms, including building sourcing attribution models, recruiting funnel benchmarks, and full-lifecycle hiring analytics.
Experience with LinkedIn Talent Insights or similar platforms to interpret external talent market signals and convert them into actionable recommendations.
Experience using Python or R for predictive modeling and workflow automation, along with an interest in applying Generative AI or LLM-based tools to accelerate insight development.
Strong SQL capabilities with experience querying and transforming complex datasets while bridging backend data structures and front-end analytics tools.
Familiarity with modern data pipeline tools and experience modeling HR and recruiting data within Snowflake.
Understanding of global data privacy frameworks such as GDPR and CCPA, and their application within HR data governance, payroll reporting, and employee data management

Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Ready to apply?

Apply to Kaseya Careers

Kaseya Careers

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Applied Value Engineer

Celonis · Bangalore, India

Apply now

Value Engineering Bangalore, India Posted May 5, 2026

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

The Role:

As an Applied Value Engineer for the Japan Market, you will solve business-critical problems for our most strategic Japanese customers. You will bridge the gap between cutting-edge AI technology and the unique business requirements of Japanese enterprises.
Working with the world’s leading Process Intelligence (PI) platform and partners like Microsoft, OpenAI, and Databricks, you will feed operational context to AI to help Japanese organizations industrialize AI and unlock real ROI. You will prototype solutions, demonstrate value to executives, and ensure successful implementation and adoption within the Japanese business ecosystem

The work you’ll do:

AI Discovery & Solutioning (Japan Focus): Understand the specific AI strategies and challenges of Japanese customers. Translate their requirements into innovative solutions that align with local business practices.
Hackathons & Prototyping: Rapidly build creative prototypes (LLM/Agent-based) to solve business-critical problems during customer hackathons.
Agentic Process Transformation: Enable a fundamental shift for our customers from traditional automation to autonomous AI agents empowered by the Celonis PI Platform.
Proof Projects: Execute end-to-end Proof-of-Value (PoV) projects, including architecture, RAG, and guardrails, ensuring compliance with enterprise data and identity frameworks.
Cross-Border Collaboration: Work closely with the Japan-based account teams and executives to ensure project outcomes reach agreed value and adoption thresholds.
Domain Specialization: Specialize in domains (e.g., Supply Chain, Finance) to scale knowledge across the Japan and global organizations.

The qualifications you need:

Market Alignment: Strong willingness and commitment to work specifically for the Japan market. This includes flexibility to align with Japan Standard Time (JST) for key meetings and workshops.
Professional Experience: 3-5 years of experience in technical pre-sales, defining AI roadmaps, and building ROI/TCO business cases.
Technical Expertise: Deep understanding of Generative AI techniques (RAG, multi-agent orchestration, prompt engineering) and Python (LangChain, pandas, PyTorch, etc.).
Process Knowledge: Understanding of business processes (Supply Chain, Finance, etc.) and the ability to translate high-level needs into AI use cases.
Communication: Strong presentation skills to engage with both internal stakeholders and external Japanese enterprise executives.
Education: Bachelor’s Degree required (Master’s in CS, Engineering, or Math preferred).

Nice to have (Big Plus)

Japan Market Experience: Previous experience working with Japanese companies as clients or partners is highly valued.
Cultural Competency: Familiarity with Japanese business etiquette and communication styles.
Hands-on AI implementation: Experience building agentic systems and deploying models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).
LLM Ecosystem: Working knowledge of LangChain, LlamaIndex, or other OSS packages.

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Ready to apply?

Celonis

View all jobs →

Staff Engineer I

InMobi · Bangalore

Apply now

Raman Srinivasan (Technology Horizontal Platform) Bangalore Posted May 5, 2026

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.

Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com

What is the InMobi family like?

We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.

What can we promise?

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your ML and AI skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.

Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams. Food for your soul – free meals all days of the week, gym, or yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What is the team like?

At InMobi Enterprise team, we are transforming the way finance, sales, marketing, people, and legal functions operate. We’re driving transformative work across Sales, Marketing, People, and Finance with ML and Agentic AI—and we’re looking for passionate innovators to join us!

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, GenAI and modern agentic AI systems with a strong engineering appetite. You will build and deploy intelligent AI/ML systems that will help transform the business process across the core. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Lead the experimentation, design and build of agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
Support POCs/ Pilots projects to explore and validate innovative technologies and solutions in ML/AI space.

Build and operate machine learning models on diverse, high-volume data sources for forecasting, classification and prediction.
Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
Design pipelines for data preparation, model training, evaluation, and deployment in collaboration with engineering counterparts.
Define best practices for monitoring ML model performance using statistical techniques; identifying drifts, failure modes, and improvement opportunities.
Contribute to ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.

What do we expect from you?

We are seeking candidates with deep expertise in ML and hands-on experience building GenAI and Agentic AI systems.

Skillset: AI/ML Engineering, Python, LLM, RAG, Agentic AI, MCP, REST API

You should have experience with:

Design, build, and deploy building LLM-powered applications, chatbots, and multi-agent systems to improve efficiency, accuracy, and decision-making.
Implement and customize GenAI and multi-agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, or similar.
Create, refine, and maintain prompt templates, chains, and workflows.
Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc.) for semantic search and memory.
Classical ML and deep learning techniques across NLP, clustering, and time series.
Proficient in deploying ML workflows/models in production system. Continuous monitoring, evaluation, and retraining of models to ensure sustained performance. Ensuring model explainability, accuracy, compliance.
Big data processing (Spark, distributed data systems) and cloud computing.
Designing end-to-end ML solutions—from prototype to production.
Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
Drive in design reviews, sprint planning, and technical discussions.
Collaborating effectively with diverse stakeholders, including technical teams and business leaders.
Adapting to fast-paced environments and evolving priorities with high energy and autonomy.

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

Qualifications

Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
8+ years of industry experience in ML/Data Science, with deep proficiency in Python and one or more frameworks: PyTorch, TensorFlow, Scikit-learn.
Solid understanding of ML fundamentals, regression, tree-based models, clustering, and time series.
Hands-on experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT-style agents.
Expertise with algorithms in NLP, Time Series, and Deep Learning, applied on real-world datasets.
Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
Experience with Model Context Protocols (MCPs) — building or integrating MCP tools, servers, or capabilities.
Comfortable working in cross-functional teams.
Strong problem-solving and analytical skills with the ability to work in agile environments.
Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
Excellent communication skills with the ability to simplify complex technical concepts.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Ready to apply?

Apply to InMobi

InMobi

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SDE III Gen AI

InMobi · Bangalore

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Glance AI - Tech & DS Bangalore Posted May 5, 2026

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.

Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.

Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com

What You Will Be Doing

- Design and implement production-ready generative AI applications that serve millions of users, from initial architecture through deployment and monitoring
- Build advanced RAG (Retrieval-Augmented Generation) pipelines that combine vector databases, hybrid search, and intelligent caching to deliver sub-second response times
- Develop multimodal AI systems that seamlessly integrate text, vision, and audio capabilities using state-of-the-art models
- Architect scalable microservices that handle thousands of concurrent AI requests while optimizing for cost, latency, and reliability
- Lead code reviews and technical design sessions, establishing best practices and architectural patterns that elevate the entire team's capabilities
- Optimize large language models through fine-tuning techniques to achieve domain-specific performance improvements
- Implement comprehensive MLOps practices including automated testing, model versioning, A/B testing frameworks, and real-time monitoring dashboards
- Collaborate with product managers and stakeholders to translate complex business requirements into innovative AI solutions
- Deploy AI models across multiple cloud platforms (GCP) using containerization and orchestration technologies
- Create and maintain technical documentation, runbooks, and architectural decision records that enable knowledge sharing across teams
- Mentor junior engineers through pair programming, technical talks, and hands-on guidance to accelerate their growth
- Research and prototype emerging AI technologies to identify opportunities for competitive advantage

Gen AI Responsibilities

- Fine-tune and optimize state-of-the-art language models for specific business use cases, achieving significant improvements in accuracy and relevance
- Design multi-agent AI systems using frameworks to orchestrate complex workflows and decision-making processes
- Implement advanced prompt engineering strategies including Tree of Thoughts, ReAct patterns, and automatic prompt optimization to maximize model performance
- Build production-grade embedding systems that handle billions of vectors, implementing efficient indexing strategies and hybrid search capabilities
- Develop computer vision pipelines using models for tasks ranging from object detection to visual question answering
- Create secure AI applications with robust safeguards against prompt injection, jailbreaking, and data leakage while maintaining compliance with AI governance standards
- Optimize token usage and implement intelligent caching strategies to reduce costs by 50-70% while maintaining quality
- Design and implement evaluation frameworks that go beyond traditional metrics, incorporating human feedback loops and domain-specific quality measures
- Build real-time AI inference systems capable of processing streaming data with sub-100ms latency requirements
- Integrate multiple foundation models into unified applications, implementing fallback mechanisms and load balancing for high availability
- Develop custom tools and functions that extend LLM capabilities, enabling models to interact with databases, APIs, and external systems
- Implement advanced RAG techniques including contextual embeddings, cross-encoder reranking, and Graph RAG for complex reasoning tasks
- Create multimodal search systems that enable users to query across text, images, and documents using natural language
- Build AI-powered data processing pipelines that automatically extract, transform, and enrich unstructured data at scale
- Deploy edge AI solutions using frameworks like ONNX and TensorRT, optimizing models for resource-constrained environments

What We're Looking For

- 5+ years of hands-on experience building and deploying ML/AI systems, with at least 2+ years focused on generative AI and LLMs
- Expert-level Python programming skills with deep knowledge of async programming, multiprocessing, and performance optimization
- Strong experience with modern AI frameworks including PyTorch, Transformers, LangChain, and vector databases
- Proven track record of deploying AI applications to production environments serving real users at scale
- Deep understanding of transformer architectures, attention mechanisms, and the latest advances in generative AI
- Experience with cloud platforms (GCP) and containerization technologies (Docker, Kubernetes)
- Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences
- Proven experience improving large-scale product search and discovery — including dense retrieval with bi-encoders, cross-encoder reranking, query understanding, and hybrid BM25 + vector search across catalogs of tens of millions of SKUs
- Hands-on experience building and deploying production multi-agent systems using orchestration frameworks such as LangGraph and Google ADK — designing stateful, tool-augmented agents for complex, real-world workflows
- Bachelor's degree in Computer Science, Mathematics, or related field (Master's preferred but not required with relevant experience)

Nice to Have

- Published research papers or significant contributions to open-source AI projects
- Experience with multimodal AI systems combining vision, language, and audio
- Domain expertise in specific verticals (healthcare, finance, legal, e-commerce)
- Knowledge of AI safety, alignment, and constitutional AI principles
- Experience building AI infrastructure and platforms used by other engineers
- Familiarity with emerging technologies like neural architecture search, mixture of experts, or neuromorphic computing

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

Ready to apply?

Apply to InMobi

InMobi

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Applied Value Engineer

Celonis · Bangalore, India

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Value Engineering Bangalore, India Posted May 5, 2026

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.

Role Description

As an Applied Value Engineer you are pushing the envelope in solving business-critical problems for our customers. You will be working with our most strategic customers, understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

Key Responsibilities:

AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
Ensure Successful Project Outcome: Applied AI Engineers stay involved with projects until agreed value & adoption thresholds are reached
Specialize in Domains or Industries: To scale knowledge across the organization Applied AI Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
Experience in Oil & Gas industry is must.
Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.

Nice to have (big plus):

Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)

What Celonis can offer you:

Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.

About Us:

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

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Celonis

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Senior AI Engineer

ChargePoint · Bengaluru, Karnataka, India

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2504 - NOC IN-Karnataka-Bangalore Posted May 5, 2026

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?

ChargePoint

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Senior AI Engineer

ChargePoint · Bengaluru, Karnataka, India

Apply now

2504 - NOC IN-Karnataka-Bangalore Posted May 5, 2026

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?

ChargePoint

View all jobs →

Manager,Software Engineer-AI

Conga · India - Bangalore

Apply now

R&D Bangalore Posted May 5, 2026

A career that’s the whole package!

At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.

Job Title: Manager, Software Engineer

Locations: Bangalore

Reports to: VP, AI Engineering

A quick snapshot…

Conga is looking to hire a Manager, Software Engineering to join our extremely talented AI Engineering team. As an Engineering Manager at Conga, you’ll lead a team of software engineers working on our next generation AI Solutions. This team will be responsible for building statistical and machine learning models that support product features across the company. You’ll get to work directly with other Engineering Managers, Architects, Data Scientists, Product Managers, and Directors, all of whom make up the larger team. In this highly collaborative environment, you will have the opportunity to grow as a leader and help mentor others.

This position requires experience leading software engineering initiatives, knowledge of AI/ML solutions, as well as excellent people and time management skills. This role will be reporting to the VP of AI Engineering and will be a key engineering leader inside the Conga AI Pillar. The role requires you to collaborate with other leaders at Conga and guide your team to deliver high quality software solutions in a timely manner. The ideal candidate for this position is passionate about people, process, technology, and delivering customer values.

Conga works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with other Engineering and Product leaders, as well as work closely with other your team members are key components for success in this position.

Why it’s a big deal…

8+ or more years of experience in the Software Engineering industry with a record of increasing responsibility leading software development initiatives, and 3+ years managing teams.

Deep understanding of the Software Development Lifecycle (SDLC) and Machine Learning Lifecycle (MLL).

Lead and drive the strategy, vision and roadmap for building robust, scalable AI/ML foundations and platforms — including but not limited to:

Feature stores
Distributed ML model training
Model versioning and evaluation
Monitoring, drift detection, and automated retraining pipelines
Responsible AI, model explainability, and fairness assessments

Experience with productionizing ML models and integrating them into real-time and batch applications. Work closely with data science partners and domain engineering teams to understand AI/ML use cases and build corresponding foundations for personalization, NLP, forecasting, recommendations, and generative AI.

Experience using a popular programming language such as: Python (preferred), Java, C#, Scala, etc.

Solid understanding of modern software development practices including object-oriented programming, concurrency, design patterns, microservices architecture, RESTful API design, and test-driven development.

Experience with software testing concepts and tools: white/black box testing, coverage analysis, mocking, PyTest/xUnit, Selenium, etc.

Hands-on experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and Vertex AI — or equivalent services in AWS and/or Azure.

Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, MLflow, scikit-learn, HuggingFace Transformers, etc.

Strong experience with Infrastructure-as-Code and CI/CD tools used to automate deployment to cloud platforms: Terraform, GitHub Actions, Concourse, Ansible, etc.

Excellent leadership, decision-making, and communication skills, with the ability to translate business needs into engineering outcomes.

Experience with AI product lifecycle management, including experimentation tracking, model governance, and release management.

Experience with Python is ideal; Java/Spring is a strong plus.

Education: Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred

Are you the person we’re looking for?

Provide engineering leadership and mentorship to a team of software engineers.

Be a strong engineering leader responsible for executing the Conga AI roadmap using agile practice.

Experience implementing scalable data and AI/ML solutions in a product-driven technology environment.

Manage, lead, and motivate cross-functional, interdisciplinary teams of software engineers to achieve strategic and tactical business outcomes.

Mentor and grow engineers in your team, fostering a culture of teamwork, accountability, and continuous improvement.

Demonstrated ability to skillfully hire, coach, and performance manage a team of technology professionals.

Partner with others at Conga to ensure engineering tasks are understood, broken down, and implemented to the highest of quality standards.

Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.

Encourage skill growth of your team members.

Assist and adhere to enforcement of project deadlines and schedules.

Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.

Highly technical, confident at the operational management level and comfortable in an engineering-heavy organization.

Track record of being a strong leader, with the ability to influence across teams and levels.

Work with development teams in an agile context as it relates to software development.

Here’s what will give you an edge…

Provide architectural guidance and technical oversight for AI/ML systems, ensuring solutions are scalable, secure, and production ready.

Drive engineering excellence by championing robust design, peer reviews, and efficient CI/CD practices tailored for AI systems.

Foster strong cross-functional partnerships with Product, Data Science, ML-Ops, and DevOps teams to accelerate delivery and innovation.

Travel Requirement

Limited travel to other company offices upon request

#LI-UB1

Did we pique your interest? 

If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 

Preferred Resume Format

We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?  

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles. 

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement

The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

Ready to apply?

Conga

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Senior Staff Software Engineer

Veeam Software · Bangalore, India

Apply now

VDC Engineering-India 1009656 India Posted May 4, 2026

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

Technical Strategy & Architecture
- Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
- Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
- Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
- Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.
Engineering Execution & Excellence
- Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
- Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
- Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
- Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.
Organizational Leadership & Influence
- Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
- Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
- Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
- Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.
Mentorship & Talent Development
- Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
- Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
- Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.
Operational Ownership
- Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
- Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity.
Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
Background in data protection, backup, disaster recovery, or storage infrastructure.
Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Private medical coverage for you and up to four dependents
Life, accident, and disability insurance with enhanced coverage
Annual flexible wellbeing allowance for physical and mental wellness
Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
Meal, fuel, and transportation benefits based on work arrangement
Daycare reimbursement and safe cab facility for eligible employees
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-KP1

Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.

The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.

By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.

By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.

Ready to apply?

Apply to Veeam Software

Veeam Software

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GE

Staff Data Software Engineer

Get Well Network · Bangalore

Apply now

Engineering & AI- Get Well Network Get Well Network - Bangalore Posted May 4, 2026

Opportunity

Get Well is seeking an experienced and highly motivated Staff Data Software Engineer to help build and optimize our cloud-native data platform that powers AI, analytics, and clinical applications. You will play a key role in developing scalable, compliant data infrastructure and pipelines designed specifically for the healthcare domain, while mentoring junior engineers and leading cross-functional initiatives to drive innovation.

This is a hands-on engineering role suitable for someone who thrives at the intersection of modern data engineering, cloud-native platforms, DevOps, healthcare data, and AI enablement. Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.

Responsibilities

Data Engineering & Platform Development

Design, build, and maintain scalable data pipelines supporting batch and real-time use cases.
Develop and maintain production-grade data workflows that move and transform sensitive healthcare data across distributed systems at scale.
Work with Spark, Databricks, Airflow/Temporal, and dbt to ingest, process, and manage structured and unstructured data.
Design and implement reusable, efficient data models for analytics and AI/ML use cases.
Ensure platform resiliency using CI/CD pipelines, observability tools, and logging frameworks.
Leverage Infrastructure as Code practices using Terraform, CloudFormation, or equivalent to manage cloud resources.

Healthcare Data Integration & Compliance

Ingest and normalize complex healthcare data sets (FHIR, HL7, CCDA, Claims, EDI, Epic/Clarity, etc.).
Familiarity with clinical coding systems and ontologies, such as ICD-10, SNOMED CT, LOINC, or RxNorm.
Collaborate with compliance and security teams to ensure adherence to HIPAA, GDPR, and internal controls.
Implement fine-grained access control, encryption at rest and in transit, audit logging, and data lineage strategies.

AI & GenAI Enablement

Work alongside AI/ML and data science teams to build pipelines feeding predictive and generative models.
Tune data infrastructure for performance across distributed systems and hybrid data stores like SQL, MongoDB, ClickHouse.
Prioritize scalability and flexibility in designing LLM-compatible pipelines and use GenAI best practices for healthcare use cases.
Utilize Spark clusters and query frameworks such as SparkSQL and SPARQL for large-scale data access.
Utilize and manage graph databases (e.g., Neo4j, Amazon Neptune, or similar) to support complex relationship modeling and healthcare data connectivity use cases.
Enable high-quality training data pipelines and implement feature stores and model serving systems.

Data Governance, Quality & Monitoring

Implement data quality frameworks and establish robust validation processes using tools such as Great Expectations or equivalent.
Build automated anomaly detection tools for data drift and integrity checks.
Support data cataloging, metadata management, and ensure consistent documentation across datasets.

Collaboration, Mentorship & Leadership

Act as a mentor to junior engineers through code reviews, paired programming, and technical guidance.
Lead cross-functional projects with teams including clinical informatics, architecture, security, product, and design.
Contribute to and enforce data engineering best practices, patterns, and platform standardization.

Learning and Innovation

Research and evaluate emerging tools and frameworks (e.g., Apache Iceberg, Delta Lake) for incorporation into the platform.
Proactively identify opportunities to improve architecture and leverage evolving trends in GenAI and cloud-native computing.

Qualifications

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8–12 years of experience in software or data engineering roles including at least 3 years working with large-scale or cloud-native data systems.
Must have prior software development experience in the healthcare domain—including payers, providers, health tech, medical devices, or life sciences.
Functional knowledge and direct experience with healthcare data types (FHIR, HL7, Claims, EDI, Epic/Clarity, etc.).
Demonstrated experience in designing, implementing, and maintaining data pipelines that move and transform healthcare data with production-level quality, reliability, and performance.

Technical Skills

Advanced programming experience in Python, SQL, and distributed processing with Apache Spark.
Cloud-native platform experience with Azure.
Proven capability with Infrastructure as Code (Terraform, CloudFormation) strongly preferred.
Experience with data warehouses and lakes including Snowflake, Databricks, and ClickHouse.
Familiarity working with GenAI tools and ML pipelines in production environments.
Strong skills in data modeling, job orchestration (Airflow), data transformation (dbt), and pipeline optimization.
Experience with DevOps/tooling stacks for CI/CD, containerization, observability, and cost optimization.
Familiarity with data validation and anomaly detection tools such as Great Expectations.
Experience with SparkSQL and SPARQL is a plus.

Professional Attributes

Excellent communication and collaboration skills across cross-functional, domain, and technical stakeholders.
Ability to lead initiatives and drive data engineering standards.
Self-driven, with a commitment to delivering high-quality solutions in regulated and sensitive environments.

About GW RhythmX

GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.

GW RhythmX is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

Ready to apply?

Apply to Get Well Network

GE

Get Well Network

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Staff Software Engineer- AI

Conga · India - Bangalore

Apply now

R&D Bangalore Posted Apr 30, 2026

A career that’s the whole package!

At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.

Job Title: Staff Software Engineer, AI

Locations: Bangalore

Reports to: Sr. Manager, AI/ML.

A quick snapshot…

As a Staff Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…

This is one of the critical roles in the project, where you will be an expert in product development, a good team player, and will lead and mentor your team members. We believe in using the best tools for the task at hand so the ability and desire to learn new programming languages and technologies is necessary. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. This role determines the root cause for the most complex software issues and develops practical, efficient, and permanent technical solutions.

Are you the person we’re looking for?

Experience: 8+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions.

Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage.

GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance.

Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence.

Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion.

Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset.

Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement.

Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health.

Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability.

Educational : Bachelor’s degree in computer science, Engineering, or a related technical field; Master’s degree preferred.

Here’s what will give you an edge…

Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming, and concurrency.

Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP, AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA).

AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments.

Preferred Skill sets/Tools:

AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g., TensorFlow, PyTorch) and experience with data preprocessing and model evaluation.

Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB, MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus.

Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software.

Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale.

#LI-UB1

Did we pique your interest? 

If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 

Preferred Resume Format

We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?  

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles. 

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement

The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

Ready to apply?

Conga

View all jobs →

Senior Software Engineer, AI

Conga · India - Bangalore

Apply now

R&D Bangalore Posted Apr 30, 2026

A career that’s the whole package!

At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.

Job Title: Senior Software Engineer
Locations: Bangalore
Reports to: Director, Software Engineering

A quick snapshot…
As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.  

Why it’s a big deal…

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day.

Here's what we’re looking for…

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.

Technical expertise. You have:

Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.

Knowledge of AI/ML algorithms, generative models, and LLMs.

Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.

Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently.

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success.

#Li-VA1

Did we pique your interest? 

If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 

Preferred Resume Format

We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?  

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles. 

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement

The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

Ready to apply?

Conga

View all jobs →

Senior Software Engineer, AI

Conga · India - Bangalore

Apply now

R&D Bangalore Posted Apr 30, 2026

A career that’s the whole package!

At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.

Our approach is grounded in the Conga Way, a framework that reflects our values and drives everything from hiring to decision-making, as well as key programs including recognition. Created with direct input from our colleagues, the Conga Way forms the foundation of our vibrant culture.

Job Title: Senior Software Engineer, AI/ML or GenAI
Locations: Bangalore / Ahmedabad / Pune

Reports to: Director, Software Engineering

A quick snapshot…

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.  

Why it’s a big deal…

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day.

Here's what we’re looking for…

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.

Technical expertise. You have:

Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.

Knowledge of AI/ML algorithms, generative models, and LLMs.

Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.

Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently.

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success.

#Li-VA1

Did we pique your interest? 

If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 

Preferred Resume Format

We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.

Don’t meet every requirement for the role?  

Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles. 

Additional Information

Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.

Conga's Applicant Privacy Statement

The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.

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VP Engineering, Platform & Infrastructure

6sense · Bengaluru, Karnataka, India

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Engineering Bangalore Posted Apr 30, 2026

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.

About the Role

We are seeking a senior engineering leader to own and evolve the foundational Platform & Infrastructure powering our global product ecosystem. This leader will drive cloud architecture, distributed systems, and large-scale data platforms that enable scalability, reliability, and AI-first innovation.

This role combines deep technical platform ownership with broader regional engineering leadership. In addition to stewarding our infrastructure, you will accelerate product velocity, enable Generative AI capabilities at the platform layer, and ensure global scalability of our technology systems.
Platform is a core leverage point for accelerating product velocity, enabling AI innovation, powering data monetization, and driving global scalability.This is a high-impact leadership role with regional influence, clear ownership of Platform & Infrastructure engineering, and strong executive visibility.

You will serve as the senior-most engineering leader in India, partnering closely with the Senior Leadership Team (SLT) to drive long-term technology strategy, leadership development, and execution excellence across the region.

What You’ll Own

End-to-end ownership of Platform & Infrastructure engineering (AWS, architecture, reliability, scalability)
Leadership of large-scale data platform operating at PB-scale and processing trillions of data points daily
Generative AI enablement at the platform layer to power AI-driven product innovation
Engineering excellence across distributed systems, SRE, DevOps, observability, and developer productivity
Regional engineering leadership across India
Executive alignment with SLT on long-term technology strategy

What You’ll Do

Lead global teams across platform engineering, infrastructure, cloud operations, integrations, and SRE
Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks
Define and execute long-term AWS cloud strategy focused on availability, security, performance, and cost optimization
Scale distributed systems architecture to support global growth and AI workloads
Improve developer velocity through internal platforms, tooling, and automation
Build and mentor senior engineering leaders; strengthen high-performance culture in India
Drive change leadership during periods of growth and transformation
Partner cross-functionally with Product, Security, and Engineering to align technical priorities with business goals

What We’re Looking For

15+ years of engineering experience, including 7+ years in senior leadership roles
Proven leadership of large-scale Platform & Infrastructure organizations
Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed
Deep expertise in AWS, distributed systems, cloud-native architecture, and SRE
Experience operating PB-scale data platforms
Track record of scaling engineering teams in high-growth SaaS environments
Strong executive presence with experience partnering at SLT or board level
Demonstrated ability to develop senior engineering leaders and build high-performance culture
Strong business acumen and long-range strategic thinking

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?

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6sense

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Senior Data Scientist

Definitive Healthcare, India · Bengaluru, Karnataka, India

Apply now

Commercial Bangalore, India Posted Apr 29, 2026

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
Collaborate with global and cross-functional teams to design and implement optimized data solutions.
Develop scalable tools such as solution workbenches and automated reporting systems.
Scope, prioritize, and independently handle client requests with minimal supervision.
Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

Comply with information security policies and processes
Report security weaknesses, events or potential events, or other security risks, to the organization
Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

Industry leading products
Work hard, and have fun doing it
Incredibly fast growth means limitless opportunity
Flexible and dynamic culture
Work alongside some of the most talented and dedicated teammates
A collaborative and friendly culture with very high employee engagement

Ready to apply?

Apply to Definitive Healthcare, India

Definitive Healthcare, India

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Senior Data Scientist

Definitive Healthcare, India · Bengaluru, Karnataka, India

Apply now

Product & Engineering Bangalore, India Posted Apr 29, 2026

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
Collaborate with global and cross-functional teams to design and implement optimized data solutions.
Develop scalable tools such as solution workbenches and automated reporting systems.
Scope, prioritize, and independently handle client requests with minimal supervision.
Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

Comply with information security policies and processes
Report security weaknesses, events or potential events, or other security risks, to the organization
Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

Industry leading products
Work hard, and have fun doing it
Incredibly fast growth means limitless opportunity
Flexible and dynamic culture
Work alongside some of the most talented and dedicated teammates
A collaborative and friendly culture with very high employee engagement

Ready to apply?

Apply to Definitive Healthcare, India

Definitive Healthcare, India

View all jobs →

Software Engineer II - Backend

Abnormal · Hybrid - Bangalore, India

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R&D Hybrid - Bangalore, India Posted Apr 28, 2026

The Opportunity

Abnormal AI is revolutionizing cybersecurity by leveraging AI-native technologies to combat modern cyber threats. We’re building a team of top-tier engineers who are excited to use Generative AI tools like Cursor, GitHub Copilot, and Claude to redefine how software is built—faster, smarter, and more efficient.
We are seeking a highly skilled Software Engineer II to help shape the future of AI-powered application development. If you’re passionate about cutting-edge technology, scalable systems, and solving real-world challenges, this is your opportunity.

What You’ll Do

Abnormal’s engineering expectations emphasize strong judgment in using AI to explore solutions, refine outputs, and deliver reliable production outcomes.
Leverage AI-Augmented Development to enhance productivity, optimize workflows, and automate repetitive tasks.
Build backend services and workflows that make POV onboarding smoother, quicker, and more self-serve for customers.
Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules.
Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences.
Collaborate with strong engineers and cross-functional partners to deliver impactful solutions for customers and internal teams.
Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale.
Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation.

Must Haves

3+ years of professional experience in software development.
Backend development experience with Python and/or Golang.
Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
Experience or passion for building scalable, enterprise-grade applications.
Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Strong fundamentals in computer science, data structures, debugging, and performance optimization.

Nice to Have

Experience building onboarding, provisioning, workflow orchestration, or platform automation systems.
Familiarity with backend systems that provide process visibility, status tracking, or operational tooling.
Experience with distributed systems, service-oriented architectures, or event-driven workflows.
Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows.
Experience improving service reliability, resiliency, and observability in production systems.
Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products.

Ready to be part of AI transformation at Abnormal Security? Apply Now!
Once you apply, you’ll be invited to our AI-Augmented Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Ready to apply?

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Abnormal

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Product Design & Research Intern

DigiCert · Bangalore

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Product Bangalore Posted Apr 27, 2026

Who we are

DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security, privacy, and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle management, to secure infrastructure, software, devices, messages, AI content and agents. Learn why more than 100,000 organizations, including 90% of the Fortune 500, choose DigiCert to stop today’s threats and prepare for a quantum-safe future at www.digicert.com

Job summary

DigiCert is looking for a motivated Product Design & Research Intern to join our User Experience team. This role blends Product Design and Product Research responsibilities, giving you the chance to explore both disciplines while learning directly from senior and staff-level designers.

You’ll support projects that shape DigiCert’s product experiences and get hands-on with industry-standard tools like Figma, Maze, and Pendo analytics while also experimenting with the latest AI-powered tools (e.g., Figma Make, generative research assistants) to supercharge design and research workflows.

This is an ideal opportunity for students and recent graduates excited about how AI is transforming design and eager to contribute to projects that impact millions of users worldwide.

Be part of a team that’s redefining how digital trust is experienced.

What you will do

Product Research Support

Assist in setting up and running moderated and unmoderated usability studies using Maze.
Collect, analyze, and synthesize data from research studies and Pendo analytics tool, turning insights into recommendations.
Research and document competitor products and experiences to identify best practices and opportunities for differentiation.
Summarize research findings into actionable insights for the design team.
Support senior researchers and designers in preparing study plans, discussion guides, and participant feedback documentation.
Collaborate with cross-functional teams to share findings and track how insights influence product design.

Product Design Support

Collaborate with senior/staff designers in Figma, Figma Make, Claude Code or related tool to create and iterate on wireframes, prototypes, and design assets.
Create design components and contribute to our design system.
Contribute to product concepts by applying design best practices and user insights.
Work with existing design patterns and style guides to maintain consistency across products.
Participate in design reviews, providing feedback and learning from experienced designers.
Ensure designs are tested with users and validated against research insights.
Experiment with AI-powered design tools (like Figma Make, V0) to accelerate ideation, pattern generation, and design exploration.

What you will have

Currently pursuing or recently completed a degree in Human-Computer Interaction (HCI), Design or related field.
Familiarity with product research methods (e.g., usability testing, competitive analysis, interviews, surveys).
Basic design skills and knowledge of Figma or similar tools.
Confident in experimenting with AI-based design tools and emerging workflows.
Strong communication, organization, and collaboration skills.
Curious, detail-oriented, and eager to learn from a senior design team.

Nice to have

Experience with analytics or testing platforms (e.g., Maze, Pendo, Google Analytics).
Previous internship, class project, or portfolio work in product design or research.
Interest in AI, automation, and the future of design-tech collaboration.

Benefits

Generous time off policies
Top shelf benefits
Education, wellness and lifestyle support

#LI-SD1

Ready to apply?

Apply to DigiCert

DigiCert

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Forward Deployed Engineer

DevRev · Bangalore, India; Chennai, India

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Engineering - Applied AI Engineering Bangalore, India Posted Apr 27, 2026

About DevRev

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

Customer-facing: 30% working directly with customers.
Coding & Integration: 70-80% hands-on technical implementation
Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Ready to apply?

Apply to DevRev

DevRev

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Senior Member of Technical Staff: ML Systems and Infrastructure

DevRev · Bangalore, India

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Engineering Bangalore, India Posted Apr 27, 2026

About DevRev

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

What You’ll Do:

Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models—from massive-scale distributed training to ultra-low-latency, highly-available inference.
Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang. You’ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience.
Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You’ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence.
Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid.

What are we looking for

Experience: 5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructure for large-scale distributed systems.
Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Kubernetes & Cloud Native Expertise: Deep, hands-on expertise with Kubernetes in production. You are fluent in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows.
GPU & Cloud Mastery: Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment.
Modern LLM Serving Experience: Hands-on experience with modern LLM inference serving frameworks (e.g., vLLM, SGLang, Triton Inference Server, Ray Serve). You understand the unique challenges of serving generative models.
Strong Coder: Strong programming proficiency in Python or Go, with experience using ML frameworks like PyTorch, Jax, TensorFlow.
Observability Mindset: A passion for building observable and resilient systems using modern monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry).

We would love to see:

Deep performance optimization skills, including writing custom inference kernels in CUDA or Triton to accelerate model performance beyond what off-the-shelf frameworks provide.
Experience with model optimization techniques like quantization, distillation, and speculative decoding.
Exposure to training and serving multi-modal models (e.g., text-to-image, vision-language).
Knowledge of AI safety and evaluation frameworks for monitoring model performance for things like bias, toxicity, and hallucinations.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

Ready to apply?

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DevRev

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Forward Deployed AI Strategist

DevRev · Bangalore, India

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Engineering - Applied AI Engineering Bangalore, India Posted Apr 27, 2026

About DevRev

At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About the role

As a Forward Deployed AI Strategist, you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact.

What you'll do

Own Customer Context: Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design.
Architect AI Transformation: Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices.
Be a Trusted Advisor: Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities.
Translate & Coordinate: Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable.
Design Reusability: Architect modular, scalable solutions that can be extended across customers and verticals.
Drive Delivery: Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence.
Support Pre-Sales: Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort.
Lead Innovation: Stay ahead of emerging trends in AI, software integration, and business transformation—and bring that insight to our solution designs.
Maintain Quality & Compliance: Ensure all solutions meet performance, security, and compliance standards.

What you'll bring

Experience: 7+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations.
AI & Cloud: Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines).
Business Acumen: Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans.
Design Thinking: A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures.
Communication: Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical.
Project Leadership: Proficiency with project planning tools and methodologies; capable of managing multiple solution tracks and timelines.
Metrics Focus: Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes.
SaaS & Platform Fluency: Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles.
Education: Bachelor's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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AI Engineer

ChargePoint · Anywhere in India

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7600 - Information Security IN-Karnataka-Bangalore Posted Apr 23, 2026

About Us

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

ChargePoint is looking for an AI Engineer who will design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale.

You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams.

Reports To

Senior Manager-Information Security

What You Will Be Doing

As an AI Engineer, you will:

Assist in developing and training ML, deep learning, and NLP models.
Support senior engineers in building and maintaining data pipelines
Implement basic preprocessing, feature engineering, and data validation tasks.
Contribute to testing, evaluating, and optimizing model performance.
Help deploy models into staging or production under guidance.
Write clean, well‑documented Python code for AI experiments and prototypes.
Work with APIs, model inference scripts, and small‑scale automation tasks.
Collaborate with cross‑functional teams to understand requirements.
Stay updated with emerging AI tools, frameworks, and techniques

What You Will Bring to ChargePoint

Proven ability to own ambiguous, complex problem spaces
Experience influencing architecture and technical direction beyond your immediate team
Strong system design and debugging skills for distributed AI systems
Ability to balance speed, quality, and risk in production AI deployments
Passion for building scalable, maintainable, and responsible AI platforms
Strong communication skills with engineers, product managers, and leadership

Requirements

4 plus years of professional software engineering experience
Strong development skills in Python (required); experience with Java, Go, or TypeScript is a plus
Deep hands‑on experience with LLMs and Generative AI systems
Strong experience with RAG, embeddings, vector search, and prompt engineering
Experience building Copilot‑style or agent‑based AI systems
Strong understanding of distributed systems, APIs, and microservices
Experience deploying and operating systems using Docker/Kubernetes
Experience with Azure, AWS, or GCP
Familiarity with LLMOps / MLOps practices

Good to Have

Experience with AI governance, compliance, or regulated enterprise environments
Experience with vector databases and retrieval optimization
Prior ownership of AI systems running in production at scale

Location

Remote location in India

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.

If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com.

ChargePoint is an equal opportunity employer.
Applicants only - Recruiting agencies do not contact.

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