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