Senior Data Scientist (LLM)

Quantum One is a leading AI solutions provider in the UAE.

Our firm was founded by professionals from McKinsey & Company and BCG.

We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across multiple sectors, including energy, utilities, logistics, and industrial enterprises.

We are looking for a highly skilled and motivated

to join our Abu Dhabi team.

This role offers the opportunity to design and deploy production-grade GenAI and agentic systems for mission-critical projects with the UAE’s largest organizations.

Relocation assistance is available.

We are committed to investing in our talent.

Quantum One provides a competitive compensation package and a clear career progression path with opportunities for rapid advancement into Lead, Principal, or AI Architect roles.

You will work on high-impact enterprise AI systems, contribute to reusable internal frameworks, and help shape the next generation of agentic AI capabilities within the organization.

As a Senior Data Scientist (LLM & Agentic Systems), you will be instrumental in the execution and delivery of advanced AI systems across the following areas:

Design and implement Large Language Model–based solutions that solve complex business and operational challenges for major UAE organizations.

Architect and build multi-step LLM agents integrating reasoning, planning, memory, and tool usage.

Develop Retrieval-Augmented Generation (RAG) pipelines that combine unstructured and structured enterprise data.

Design, develop, and deploy production-grade AI copilots and autonomous agents from concept through to scalable production environments.

Ensure robustness, scalability, observability, and governance of deployed LLM systems, following enterprise-grade engineering standards.

Work closely with Data Engineers, DevOps, and client stakeholders.

Contribute to architectural decisions and mentor mid-level team members.

We are seeking a candidate who meets the following criteria and is prepared to excel in a high-performance environment.

Minimum 5 years of professional experience in Data Science or Applied Machine Learning, with at least 2 years of hands-on experience building and deploying LLM-based systems.

Fluent English is mandatory for effective communication with international teams and enterprise clients.

Demonstrated expertise across the following core stack:

Python (advanced level)

Git and CI/CD workflows

Docker and Kubernetes

Postgres or similar RDBMS / NoSQL databases

Experience with at least one major Cloud Platform (Azure, AWS, or GCP)

Pandas, NumPy, scikit-learn

Experience with gradient boosting frameworks (CatBoost, LightGBM)

Model interpretation tools (e.g., SHAP)

Practical experience with Retrieval-Augmented Generation (RAG)

Embedding pipelines and vector databases

Agent orchestration frameworks (LangChain, LlamaIndex, or equivalent)

Tool/function-calling architectures

Structured output handling (JSON schemas, validation layers)

Evaluation and monitoring of LLM systems

els & Ecosystems:

Hugging Face ecosystem

Open-source models such as Llama, Qwen, or Mistral