AI Engineering Lead

We are looking for an experienced AI Engineering Lead to join our GBS practice. You will architect and deliver production-grade Generative AI solutions for large enterprise clients, working across the full stack from agentic AI systems and LLM pipelines to RAG architectures and cloud deployment on Azure.

Key Responsibilities

- Design and deploy end-to-end LLM-powered pipelines for document intelligence, information extraction, and semantic search
- Build multi-agent systems and agentic workflows using frameworks like LangGraph, AutoGen, or CrewAI including tool use, memory, planning, and multi-step reasoning
- Architect and maintain RAG systems with robust retrieval, chunking, re-ranking, and evaluation strategies
- Integrate enterprise and cloud LLM APIs with custom wrappers, structured output parsing, and error handling
- Develop and expose AI capabilities as REST APIs using FastAPI, containerised and deployed on AKS
- Implement CI/CD pipelines via Azure DevOps for reliable, scalable AI service delivery
- Evaluate model and agent performance using frameworks like RAGAS, DeepEval, and LLM-as-judge
- Engage with client stakeholders to translate business requirements into AI solution architectures
- Mentor junior engineers and contribute to team capability building

Required Skills
- Strong Python development skills OOP, async, API design




- Hands-on experience building agentic AI systems tool calling, agent orchestration, memory, and multi-agent collaboration
- Proficiency with LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks
- Experience with Azure AI services Azure OpenAI, Azure Document Intelligence, AKS, Azure DevOps
- Experience building and deploying RAG pipelines in production
- Familiarity with vector databases and embedding models
- Understanding of MLOps practices Docker, Kubernetes, CI/CD
- Solid problem-solving and client communication skills

Good to Have
- Knowledge of RAG evaluation frameworks (RAGAS, DeepEval)
- Exposure to unstructured data processing (emails, PDFs, invoices)
- Familiarity with MCP (Model Context Protocol) or OpenAI Assistants API for tool-augmented agents
- Experience with AI observability and tracing tools

Experience

47 years in software/AI engineering, with at least 2 years in hands-on LLM or Generative AI development. Prior experience delivering AI solutions in an IT services or consulting environment is a plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 TECHNICAL LEAD - Gen AI (Karnataka)
🏢 Happiest Minds Technologies
📍 Karnataka