Senior Data Scientist (LLM & Agentic Systems)

About Us

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 Senior Data Scientist (LLM & Agentic Systems) 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.

Our Offer & Your Growth

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.

Core Responsibilities

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:

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

Agentic System Development: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.

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

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

Collaboration & Leadership: Work closely with Data Engineers, DevOps, and client stakeholders. Contribute to architectural decisions and mentor mid-level team members.

Required Qualifications

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

Experience: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.

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

Technical Foundation: 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)

Machine Learning & LLM Expertise

Core Data Science Stack:

Pandas, NumPy, scikit-learn

Experience with gradient boosting frameworks (CatBoost, LightGBM)

Model interpretation tools (e.g., SHAP)

Data visualization (Matplotlib, Seaborn)

Large Language Models & Agentic Systems (Mandatory):

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

Models & Ecosystems:

OpenAI / Azure OpenAI

Hugging Face ecosystem

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