Job Description: We are seeking a highly skilled Generative AI Engineer with experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MLOps, and Machine Learning solutions. The ideal candidate will design, develop, and deploy scalable AI-powered applications, leveraging state-of-the-art LLMs, vector databases, cloud-native architectures, and advanced machine learning techniques to solve complex business challenges.
Responsibilities: * Architect and deploy cloud-native GenAI applications integrating static enterprise data with real-time APIs
Design and develop intelligent conversational AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
Build document intelligence solutions capable of Question Answering (QA), summarization, and knowledge retrieval from large-scale unstructured and semi-structured datasets.
Develop interactive AI applications using Streamlit, LangChain,



vector databases, and open-source foundation models.
Implement advanced prompt engineering techniques to improve response quality, reduce hallucinations, and enhance factual accuracy.
Design and optimize semantic search and retrieval pipelines using embeddings, vector stores, and productive chunking strategies.
Evaluate and benchmark LLM performance using appropriate quality and accuracy metrics.

Qualifications: 3 years of experience in building GenAI applications
Bachelor degree in engineering or related fields
Experience building production-grade GenAI applications.
Knowledge of MCP (Model Context Protocol), AI agents, and orchestration frameworks.
Experience with semantic search, recommendation systems, and enterprise knowledge assistants

📌 Manager Gurugram
🏢 EXL Service
📍 Gurugram