Agentic AI Engineer - LLM/RAG

Job Title : Generative AI / Agentic AI Engineer

Location : Pune

Experience : 5+Years

Job Description :

We are seeking a highly skilled Generative AI / Agentic AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Multi-Agent Systems. The ideal candidate should have strong expertise in NLP, Prompt Engineering, Agentic AI frameworks, and production-scale AI application development.

Key Responsibilities :

• Design and develop Generative AI applications using LLMs and modern AI frameworks.

• Build and optimize RAG and GraphRAG solutions for enterprise knowledge retrieval.

• Develop Agentic AI workflows and Multi-Agent Systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar.

• Create and optimize prompts, tool-calling workflows, and agent orchestration pipelines.

• Integrate LLMs with enterprise data sources, APIs, vector databases, and knowledge graphs.

• Develop scalable backend services and APIs using Python and FastAPI.

• Evaluate, monitor, and improve AI model performance, response quality, and reliability.

• Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.

• Deploy and maintain AI applications on cloud platforms such as Azure, AWS, or GCP.

Mandatory Skills :

• 2+ years of hands-on experience in Generative AI / LLM development.

• 3+ years of experience in Natural Language Processing (NLP).

• Strong proficiency in Python.

• Hands-on experience with Large Language Models (LLMs).

• Strong experience with Prompt Engineering.

• Experience with RAG (Retrieval-Augmented Generation).

• Experience building Agentic AI workflows.

• Experience with Multi-Agent Systems.

• Hands-on experience with LangChain and LangGraph.

• Experience integrating AI solutions with vector databases and enterprise data sources.

Preferred Skills :

• GraphRAG, Knowledge Graphs, or Neo4j.

• CrewAI, AutoGen, Google ADK, or similar agent frameworks.

• MCP (Model Context Protocol).

• Vector Databases : Pinecone, ChromaDB, FAISS, Qdrant, Weaviate.

• OpenAI, Azure OpenAI, AWS Bedrock, Gemini.