Senior AI Engineer

Charterhouse; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading recruitment agency in Abu Dhabi is seeking a Senior AI Engineer to spearhead data-driven and model-driven projects. You'll develop advanced agent-based systems, focusing on seamless interactions with APIs and databases. The ideal candidate should hold a Masters or Ph.D. in a relevant field and possess commercial experience beyond basic conversational interfaces, with a strong grasp of NLP and agent orchestration frameworks. This role offers an exciting opportunity to be at the forefront of AI innovation.

Qualifications

• Strong foundations in Natural Language Processing (NLP) and modern modelling techniques.
• Experience in data intensive sectors such as finance, healthcare, or e-commerce.
• Commercial experience in developing agent-based or LLM assisted applications.

Responsibilities

• Lead data-driven and model-driven initiatives in AI projects.
• Develop advanced agent-based systems and architect technical workflows.
• Implement context management approaches for reliable task execution.

Skills

Natural Language Processing (NLP)

Agent-based applications

Architecting agent frameworks

Strong communication skills in English

Education

Masters or Ph.D. in Computer Science, Data Science, Statistics

Tools

LangChain

LlamaIndex

AutoGen

Job description

Senior AI Engineer Charterhouse•Abu Dhabi

About the Role

The Senior AI Engineer will be responsible for leading data-driven and model-driven initiatives, developing advanced agent-based systems, and architecting technical workflows that underpin the organisations digital products. The role will focus on designing both single agent and multi agent architectures, building frameworks that leverage reasoning, planning, task execution, and feedback loops.

A key aspect of the position 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 be expected to implement and refine context management approaches to ensure continuity, consistency, and long horizon task execution while making informed design decisions based on model capabilities, inference behaviour, performance trade-offs, and scalability considerations.

About You

The ideal candidate will hold a Masters or Ph.D. in Computer Science, Data Science, Statistics, or a related discipline, with strong foundations in Natural Language Processing (NLP) and modern modelling techniques. Candidate 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.

Our client is looking for candidates with commercial experience developing agent-based or LLM assisted applications beyond basic conversational interfaces. Ideal candidate should be proficient in architecting agent frameworks incorporating memory, tool use, planning cycles, and multi agent coordination. Familiarity with modern agent orchestration ecosystems such as LangChain, LlamaIndex, AutoGen, or equivalent platforms is desirable. A strong understanding of model behaviour, training approaches, inference characteristics, and structured problem solving is also essential. Strong communication skills in English are also essential for this role.