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Senior AI & ML Engineer Generative AI Platform Engineering Location: Chennai & Pune (Hybrid 3 Days WFO) Experience: 6+ Years Budget: Up to 24 LPA Payroll Of Haparz We are looking for a Senior AI & ML Engineer to build and enhance enterprise-scale Generative AI Platform Engineering capabilities. In this role, you'll develop reusable AI frameworks, platform services, APIs, and agentic solutions that accelerate AI adoption across enterprise applications. You'll work alongside architects, platform engineers, and data scientists to build scalable, secure, and production-ready AI platform capabilities supporting the complete AI/ML lifecycle. Roles & Responsibilities Design and develop enterprise Generative AI platform capabilities and reusable AI services. Build AI-powered applications using RAG, AI Agents, MCP architecture, and workflow automation. Develop scalable REST APIs and microservices using Python and FastAPI. Build reusable frameworks for model deployment, inference, monitoring, and AI lifecycle management. Develop event-driven applications using Kafka and distributed architectures. Implement CI/CD pipelines, automated testing, and DevOps best practices. Integrate vector databases, model serving frameworks, and AI orchestration tools. Collaborate with cross-functional engineering teams during design, development, and sprint execution. Optimize platform performance, observability, scalability, and security. Evaluate emerging AI technologies and contribute innovative platform capabilities. Required Skills 6+ years of software engineering experience Strong Python development experience Generative AI platform engineering LLM integration & Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agents & Agentic Workflows FastAPI / REST API development MLFlow / Kubeflow Vector Databases AI Model Deployment & Inferencing Data Engineering concepts Kafka / Event-driven Architecture Docker & Kubernetes Git, CI/CD, DevOps Cloud-native application development JWT Authentication & API Gateway AI Observability & Monitoring Good to Have MCP Server development Multi-Agent Frameworks AI Governance & Responsible AI Metadata Management & Data Lineage Enterprise AI Platforms Semantic Layer concepts Work Location: Hybrid remote in Pune, Maharashtra .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.