Crisil - Senior AI Engineer - LLM/RAG

Title : Senior AI Engineer Experience Range : 5 - 8 years Location : Mumbai / Pune - Hybrid Must have skills : LLMs, RAG, Agentic framework, MCP, Prompting, API Development and Integration, Cloud Deployment, Python. What You'll Do : - Develop and deploy advanced AI solutions using the latest Generative AI techniques including : - Retrieval - Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision - making workflows. - Fine - tuning Foundation and Small Language Models (SLMs) tailored for domain specific content generation. - Build scalable AI workflows, adhering to robust engineering and code quality standards. - Lead end - to - end AI solution development lifecycle - from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP). - Collaborate closely with cross - functional global teams - financial analysts, technology architects, and client stakeholders - to translate business challenges into AI - driven solutions. - Continuously evaluate emerging AI technologies and research to keep our AI toolkit state - of - the - art. What We're Looking For : - 4 to 7 years of experience in software engineering/development with a minimum 3 years specializing in AI/ML roles. - Deep hands - on expertise with GenAI technologies - RAG frameworks, agent - based AI design patterns, fine - tuning techniques for SLM. - Strong programming skills in Python with a focus on Data Structures, cleaning, maintainable, and performant code. - Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines. - Experience working with MCP servers and Large Language Model (LLM) foundation models. - Experience working with Agentic frameworks like LangChain/LangGraph. - Having a public Github code repository or Kaggle profile will be a big plus. - Solid understanding of data structures, algorithms, software design principles, and scalable system design. - Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus. - Decent communication skills to effectively collaborate across global teams and handle client interactions. - Self - driven, proactive mindset with a passion for problem - solving and innovation.