Lead Assistant Manager

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 efficient 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