Senior AI Engineer

Charterhouse Middle East; Abu Dhabi; On-site; AED 100,000 - 140,000; Full time

Job summary

A recruitment agency in the UAE is seeking a Senior AI Engineer to lead initiatives in developing advanced agent-based systems. The successful candidate will have a Master’s or Ph.D. in a relevant field and experience in sectors like finance, healthcare, or e-commerce. You will design architectures for task execution and manage context for reliable API interactions. Strong communication skills and familiarity with agent orchestration ecosystems are essential for this permanent position with competitive salary plus benefits.

Benefits

Competitive Salary Plus Benefits

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related discipline is required.
• Experience in data-intensive sectors such as finance, healthcare, or e-commerce is favored.
• Commercial experience with agent-based or LLM-assisted applications is a must.

Responsibilities

• Lead data-driven and model-driven initiatives for digital products.
• Architect and design single-agent and multi-agent systems.
• Implement context management for continuity and task execution.

Skills

NLP

Agent frameworks

Data Science

Model behaviour

Strong communication skills

Education

Master’s or Ph.D. in Computer Science or related discipline

Tools

LangChain

LlamaIndex

AutoGen

Job description

Job Summary

Location: Abu Dhabi • Salary: Competitive Salary Plus Benefits • Job Type: Permanent • Discipline: IT & Technology

About the Role

Senior AI Engineer, responsible for leading data-driven and model-driven initiatives, developing advanced agent-based systems, and architecting technical workflows that underpin the organisation’s digital products. The role focuses on designing single‑agent and multi‑agent architectures, building reasoning, planning, task execution, and feedback loop frameworks.

A key aspect involves developing tool‑augmented systems that enable agents to interact reliably with APIs, databases, external services, and internal tools. The Senior AI Engineer will also implement and refine context management approaches to ensure continuity, consistency, and long‑horizon task execution, making informed design decisions based on model capabilities, inference behaviour, performance trade‑offs, and scalability considerations.

About You

The ideal candidate will hold a Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related discipline, with strong foundations in NLP and modern modelling techniques. Candidates with experience in data-intensive sectors such as finance, healthcare, or e-commerce will be viewed favourably. Additional consideration will be given to those who have contributed to research, open‑source projects, or technical publications demonstrating domain leadership, though this is not mandatory.

The candidate should have commercial experience developing agent-based or LLM-assisted applications beyond basic conversational interfaces. Proficiency in architecting agent frameworks incorporating memory, tool use, planning cycles, and multi-agent coordination is required. Familiarity with modern agent orchestration ecosystems such as LangChain, LlamaIndex, AutoGen, or equivalent platforms is desirable. Strong understanding of model behaviour, training approaches, inference characteristics, and structured problem solving is essential. Strong communication skills in English are also essential.