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

- Robust 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