Job Description (JD) GenAI / LLM / Agentic AI Engineer
Position: GenAI / LLM / Agentic AI Engineer
Experience: 3–10 Years
Location: Gurgaon
Education: B.E./B.Tech/M.Tech from Tier-1 Institutes (IITs, NITs, IIITs, BITS Pilani, or equivalent premier institutions)
Role Overview
We are seeking a highly skilled GenAI / LLM / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and enterprise AI platforms. The candidate will work closely with business and engineering teams to build scalable, production-grade AI applications.
Key Responsibilities
- Design and implement GenAI-powered applications using OpenAI, Azure OpenAI, Claude, Gemini, and open-source LLMs.
- Build Agentic AI workflows utilizing frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Semantic Kernel.
- Develop and optimize RAG pipelines with vector databases (Pinecone, FAISS, ChromaDB, Weaviate, Azure AI Search).
- Fine-tune and evaluate LLMs using modern techniques including LoRA,
PEFT, and prompt engineering.
- Create AI agents capable of planning, reasoning, tool usage, and workflow orchestration.
- Establish AI governance, monitoring, observability, and model performance tracking.
- Integrate AI applications with enterprise systems via APIs, cloud services, and automation platforms.
- Collaborate with data scientists, architects, and product teams to deliver business-focused AI solutions.
Required Skills
- Solid proficiency in Python.
- Hands-on experience with Generative AI, LLMs, and Agentic AI frameworks.
- Expertise in Prompt Engineering, RAG, Vector Databases, and AI Evaluation.
- Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, LlamaIndex.
- Knowledge of Transformer architecture and modern LLM ecosystems.
- Familiarity with cloud platforms such as Azure, AWS, or GCP.
- Experience building REST APIs and deploying AI applications in p
📌 Gen AI- Immediate Joiner (Delhi)
🏢 EY
📍 Delhi