Position: Lead AI Engineer (Agentic AI / Generative AI)

Experience: 8+ Years

Location: Bengaluru / Gurugram (Hybrid)

Working Hours: 10:00 AM – 7:00 PM

Key Responsibilities

- Design, develop, and deploy production-grade Agentic AI solutions.

- Build scalable AI applications using Python and FastAPI.

- Design and implement multi-agent workflows using LangGraph, LangChain, CrewAI or AutoGen.

- Develop enterprise-grade RAG pipelines using vector databases such as Pinecone, FAISS, or pgvector.

- Integrate OpenAI, Azure OpenAI, Anthropic Claude, and other LLMs into enterprise applications.

- Build secure, scalable AI services on Microsoft Azure.

- Implement prompt engineering, LLM evaluation, AI guardrails, observability, and Human-in-the-Loop (HITL) workflows.

- Develop integrations with enterprise platforms such as Microsoft Graph, Salesforce, and Power Automate.

- Collaborate with engineering teams to design scalable, reliable,



and maintainable AI platforms.

Required Skills

- Python

- FastAPI

- Async Programming

- LangGraph

- LangChain

- OpenAI / Azure OpenAI / Anthropic

- Agentic AI / Multi-Agent Systems

- RAG

- Prompt Engineering

- Vector Databases (Pinecone, FAISS, pgvector)

- LLM Evaluation

- AI Guardrails

- AI Observability

- Azure Container Apps

- Azure Blob Storage

- Azure Key Vault

- Microsoft Entra ID

- Managed Identity

- RBAC

- Microsoft Graph APIs

- Enterprise Architecture

- REST APIs

- Microservices

- Distributed Systems

Preferred Skills

- CrewAI or AutoGen

- Semantic Search

- Model Context Protocol (MCP)

- Production AI Platform Development

- Enterprise AI Security

- Performance Optimization

- Azure DevOps

📌 Ai Lead (Bengaluru)
🏢 Cloudray
📍 Bengaluru