Job Description
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 Responsibilities - Architect 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 Skills - Strong 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. Preferred - GraphRAG, Knowledge Graphs and Enterprise Search. - Responsible AI, compliance and governance. - Customer-facing AI transformation experience. You may also share your resume with us at [email protected]

📌 AI Lead Engineer (Pune)
🏢 RefRelay
📍 Pune