Lead the design, architecture, and delivery of enterprise-grade GenAI and Agentic AI solutions using LLMs, RAG, AI agents, and modern 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- Solid 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 (Amravati)
🏢 RefRelay
📍 Amravati