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.