AI / LLM Engineering Tech Lead

AI / LLM Engineering Tech Lead

Location: Chennai, India

Experience: 6+ Years

Work Mode: Onsite

Full Time

We are looking for a hands-on AI / LLM Engineering Tech Lead to drive the technical execution of enterprise AI platforms. The ideal candidate will combine strong architectural expertise with hands-on coding experience to build Agentic AI workflows, Knowledge Graphs, advanced RAG systems, and AI security safeguards .

Key Requirements

• 5+ years of software engineering experience with 3+ years in production AI/ML/LLM solutions

• Strong Python, FastAPI, Pydantic, and Asyncio

• Hands-on experience with LangGraph, LangChain, AutoGen, CrewAI, or LlamaIndex

• Strong knowledge of RAG, GraphRAG, Hybrid Search, Re-ranking, and Vector Retrieval

• Experience with Neo4j, RDF/Ontologies, and Vector DBs such as Pinecone, Qdrant, Milvus, or Weaviate

• Experience implementing AI Security, Guardrails, Prompt Injection/Jailbreak Protection, and Red Teaming

• Knowledge of RAGAS, TruLens, LLMOps, prompt versioning, evaluation, and observability

• Hands-on experience with Docker, Kubernetes, GitHub Actions, MLflow/W&B

• Production experience with AWS, Azure, or GCP

• Strong technical leadership, mentoring, architecture, and agile pod leadership experience

What You'll Do

• Lead an engineering pod building production-grade AI platforms

• Architect and develop autonomous/agentic LLM workflows

• Build advanced RAG and Knowledge Graph solutions

• Implement AI security and enterprise guardrails

• Drive LLM evaluation, performance, cost optimization, and observability

• Translate architecture into production-ready code and engineering execution