Senior GenAI / Agentic AI Engineer

Experience: 6-12 Years Are you an experienced GenAI/Agentic AI professional with a strong track record of building and deploying production-grade AI solutions? We’re looking for a Senior GenAI / Agentic AI Engineer with strong hands-on expertise in developing scalable, real-world AI solutions and a passion for building intelligent systems using the latest advancements in GenAI and Agentic AI. Job Responsibilities- - Design, develop, and deploy production-grade GenAI and Agentic AI solutions using LLMs and modern agentic frameworks. - Build and optimize RAG pipelines, including document processing, retrieval strategies, vector databases, and context management. - Design and implement multi-agent architectures with capabilities such as tool use, memory, planning, guardrails, and observability. - Develop scalable backend services and APIs using Python, FastAPI, and asynchronous programming, while integrating AI solutions with enterprise platforms and systems. - Evaluate, monitor, and improve LLM performance through prompt engineering, LLM evaluations, HITL workflows, and secure cloud-based deployment practices. Required Skills- - Production-grade LLM solutions – OpenAI, Anthropic, Azure OpenAI - Agentic AI frameworks – LangGraph, LangChain, AutoGen, CrewAI - Python, FastAPI & async programming - RAG pipelines and vector databases – FAISS, Pinecone, pgvector - Prompt engineering, LLM evaluations & HITL workflows - Azure / AWS / GCP cloud deployment - Multi-agent architecture – tool use, memory, planning, guardrails & observability - Enterprise integrations – Graph API, Power Automate, Salesforce, etc. - Secure credential management, managed identity & enterprise integration patterns. Qualifications- - Bachelor’s/ Master’s in CS/IT or equivalent practical experience. - We’re looking for professionals who have delivered real-world, production-grade GenAI/Agentic AI solutions — not just POCs.