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About the role
Role & responsibilities Design and develop applications powered by Large Language Models (LLMs) for real-world use cases, including building and optimizing Retrieval-Augmented Generation (RAG) pipelines and prompt strategies. Work with structured and unstructured data, and integrate AI solutions with backend systems using Python and Node.js through APIs. Preferred candidate profile 4+ years of experience in AI/ML with hands-on exposure to LLM-based application development Solid proficiency in Python with working knowledge of Node.js Experience in building and deploying RAG-based systems and prompt engineering Hands-on with vector databases such as FAISS, Pinecone, or Weaviate Experience in developing end-to-end AI solutions and integrating APIs Valuable understanding of scalable backend systems and performance optimization Prior experience in fintech or data-driven applications is a plus Strong problem-solving ability and analytical mindset Ability to work in a fast-paced, collaborative setting .
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