AI Engineer / Data Scientist

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:

Experience & Skills:

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.

Must have skills: LLMs, RAG, Agentic framework, Vector Databases, MCP, Prompting, API Development and Integration, Cloud Deployment, Python.