Development Lead - Advanced RPA

About the role

We are looking for a GenAI Agentic Lead to drive the design, development, delivery, and governance of production-grade Generative AI and Agentic AI solutions. The role requires hands-on technical leadership in Large Language Models, RAG, Agentic RAG, multi-agent workflows, tool-calling architectures, LLMOps, Responsible AI, cloud AI services, and enterprise system integration.

What you'll do

• Lead end-to-end design and delivery of GenAI, RAG, Agentic RAG, AI assistant, chatbot, document intelligence, and automation agent solutions
• Define agentic AI architecture patterns including tool calling, function calling, planning, memory, reflection, multi-agent orchestration, workflow routing
• Guide teams in building robust RAG pipelines covering ingestion, parsing, chunking, metadata design, embeddings, vector indexing, hybrid retrieval, reranking
• Provide hands-on technical leadership using Python, APIs, microservices, LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
• Lead integration of LLMs with enterprise applications, knowledge repositories, databases, workflow platforms, search services, and cloud-based AI services

What you need

• 5–12 yrs of experience
• RPA
• Python
• Node.js
• AWS
• Microservices
• Docker
• B.Tech or B.E. or BCA or MCA or M.Tech or M.Sc

Good to have

• GCP
• Kubernetes
• LLMs
• Machine learning
• NLP
• Azure