We have a couple of opportunities in the pipeline for which we are looking for hands-on Agentic AI developers.
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. Robust 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.

📌 Generative AI Engineer (India)
🏢 Deltacubes
📍 India