Senior GenAI / Agentic AI Engineer

Empresa confidencial

📍 Mumbai🏢 presencial🎯 senior💰 ₹26 LPA
We are seeking a hands-on GenAI/Agentic AI Engineer with proven expertise in shipping production-grade solutions using LLMs (OpenAI, Anthropic, Azure OpenAI) and frameworks like LangGraph, LangChain, AutoGen, and CrewAI. The ideal candidate will design and deliver multi-agent architectures with enterprise-grade deployments, integrating AI into real business workflows. Required Skills: - LLMs: OpenAI, Anthropic, Azure OpenAI - Frameworks: LangGraph, LangChain, AutoGen, CrewAI - Python + FastAPI + async patterns - Vector DBs: FAISS, Pinecone, pgvector - RAG pipelines, prompt engineering, evals, HITL workflows - Cloud: Azure (preferred), AWS/GCP - Enterprise Integration: Graph API, Power Automate, Salesforce - Workflow Tools: n8n (preferred) Key Responsibilities: - Ship production-grade solutions using LLMs + agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI). - Go beyond POCs - deliver scalable, enterprise-ready systems. - Strong proficiency in Python, FastAPI, async patterns. - Work with vector DBs (FAISS, Pinecone, pgvector), RAG pipelines, prompt engineering, evals, HITL workflows. - Exposure to workflow tools (n8n or similar) is a plus. - Hands-on with Azure (Container Apps, Blob, Key Vault, Entra ID/RBAC, Azure OpenAI) or AWS/GCP equivalents. - Implement secure credential management, managed identity, and enterprise integrations (Graph API, Power Automate, Salesforce). - Design multi-agent systems with tool use, memory, planning, guardrails, observability, and HITL gates. - Balance deterministic logic vs. LLM-based judgment in workflow design.

Requisitos

  • 3+ years in GenAI/Agentic AI delivery
  • Hands-on experience with LLMs (OpenAI, Anthropic, Azure OpenAI)
  • Proficiency with frameworks like LangGraph, LangChain, AutoGen, CrewAI
  • Strong proficiency in Python, FastAPI, async patterns
  • Experience with vector DBs (FAISS, Pinecone, pgvector)
  • Experience with RAG pipelines, prompt engineering, evals, HITL workflows
  • Cloud experience with Azure (preferred) or AWS/GCP
  • Enterprise integration experience (Graph API, Power Automate, Salesforce)
  • Experience designing multi-agent systems with tool use, memory, planning, guardrails, observability, and HITL gates

Diferenciais

  • Exposure to workflow tools (n8n or similar)