Lead GenAI / Agentic AI Engineer (Python)

12+ Overall exp is Mandatory

Key Responsibilities

• Build GenAI-powered applications using LLMs (OpenAI, Claude, Gemini, etc.)
• Design and implement agentic workflows using LangChain, LangGraph, tools & memory
• Develop RAG pipelines using vector DBs (Pinecone, FAISS, Chroma, Weaviate)
• Integrate LLMs with enterprise systems via APIs and event-driven services
• Optimize prompts, latency, cost, and reliability
• Partner with product, data, and platform teams to productionize AI

Required Skills

• Strong Python (5+ years)
• GenAI / LLM integration (2 4 years)
• LangChain / LangGraph / agent frameworks
• REST APIs, microservices
• Vector databases & embeddings
• Cloud (Google Cloud Platform / AWS / Azure)

Nice to Have

• LLM evaluation & guardrails
• Observability for AI systems
• MCP / multi-agent orchestration