GenAI / Agentic AI Engineer

Role Overview

Key Responsibilities

• Design and develop LLM-powered applications using OpenAI, Anthropic, Azure OpenAI .
• Build multi-agent systems using LangGraph, LangChain, AutoGen, CrewAI, or similar frameworks.
• Develop RAG pipelines, AI agents, tool calling, memory, planning, guardrails, and HITL workflows .
• Build scalable APIs and services using Python, FastAPI, and async programming .
• Work with vector databases such as FAISS, Pinecone, and pgvector .
• Implement prompt engineering, LLM evaluation, monitoring, and observability .
• Deploy solutions on Azure/AWS/GCP , with understanding of secure credential management, RBAC, Managed Identity, and enterprise integrations.
• Integrate with platforms such as Microsoft Graph API, Power Automate, and Salesforce .
• Make sound architectural decisions between deterministic workflows and LLM-based judgment .

Must-Have Skills

• 8+ years software engineering experience with strong GenAI/Agentic AI delivery experience.
• Proven production deployment experience—not just POCs.
• Strong Python + FastAPI skills.
• Hands-on with LLMs, RAG, vector DBs, and agentic frameworks .
• Strong understanding of multi-agent architecture, HITL, guardrails, and observability .