GenAI / Agentic AI Engineer

Position : GenAI / Agentic AI Engineer Experience: 8+ Years Location: Gurgaon / Mumbai / Bangalore Role Overview We are looking for a Senior GenAI / Agentic AI Engineer with strong hands-on experience building and deploying production-grade GenAI and Agentic AI solutions. 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. Experience with Azure or equivalent AWS/GCP cloud services. Good to Have: n8n/workflow automation, Docker/Kubernetes, CI/CD, LLM cost & performance optimization.