GenAI / Agentic Ai

Experience - Lead (8+)

Working Hours - 10–7 (9 hours)

Onsite - Mumbai/Bangalore/Gurugram

Hands-on GenAI/Agentic AI delivery experience (8+ yrs ): Must have shipped production-grade solutions using LLMs (OpenAI, Anthropic, Azure OpenAI) and agentic frameworks like LangGraph, LangChain, AutoGen, or CrewAI — not just POCs.

Strong Python + orchestration stack: Proficiency in Python, FastAPI, async patterns, vector DBs (FAISS, Pinecone, pgvector), RAG pipelines, prompt engineering, evals, and HITL workflow design. Exposure to n8n or similar workflow tools is a plus.

Cloud + enterprise deployment skills: Hands-on with Azure (Container Apps, Blob, Key Vault, Entra ID/RBAC, Azure OpenAI) or equivalent AWS/GCP. Should understand secure credential management, managed identity,



and enterprise integration patterns (Graph API, Power Automate, Salesforce, etc.).

Agentic architecture depth: Demonstrated ability to design multi-agent systems — tool use, memory, planning, guardrails, observability, and HITL gates. Should be able to articulate trade-offs between deterministic logic vs. LLM-based judgment in workflow design.

If you're interested in this prospect, please share your updated CV at [email protected] or WhatsApp it to (phone hidden).

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📌 GenAI / Agentic Ai (Bengaluru)
🏢 Sourcebae
📍 Bengaluru