Lead the design, architecture, and delivery of enterprise-grade GenAI and Agentic AI solutions using LLMs, RAG, AI agents, and up-to-date cloud/MLOps platforms for our client.Key ResponsibilitiesArchitect and deliver scalable LLM, RAG, Agentic AI and Multi-Agent solutions.Define AI architecture, governance, security, and best practices.Collaborate with business, product, and engineering teams.Mentor teams and drive AI innovation and transformation.Evaluate emerging AI technologies and recommend adoption.Technical SkillsStrong AI/ML solution architecture and Python development.GenAI, LLMs, RAG, embeddings, prompt engineering and fine-tuning.AI agents, Multi-Agent systems, tool/function calling and MCP.LangChain, LlamaIndex, Semantic Kernel, LangGraph, CrewAI,



AutoGen or similar.Vector databases: Pinecone, Qdrant, Weaviate, ChromaDB, FAISS or Azure AI Search.Azure OpenAI, AWS AI/ML, Google Vertex AI or equivalent.MLOps/LLMOps using MLflow, Kubeflow, Databricks, Azure ML, etc.APIs, microservices, Docker, Kubernetes, SQL/NoSQL and cloud-native architecture.AI monitoring, evaluation, observability and governance.PreferredGraphRAG, Knowledge Graphs and Enterprise Search.Responsible AI, compliance and governance.Customer-facing AI transformation experience.You may also share your resume with us at

📌 Ai Lead Engineer (Maharashtra)
🏢 RefRelay
📍 Maharashtra