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 (India)
🏢 EXL Service
📍 India