AI LEAD

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