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.