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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Durlston Partners
Fresher
Not Disclosed
  • Posted 2 days ago
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Job Description

Agentic AI Engineers – UAE based - Global Fund - Up to USD 400k TC

Role: Agentic AI Engineer (all levels, from entry to Lead)

Location: UAE, would require relocation

Compensation: Up to $300–400k USD total compensation, tax-free in the UAE, depending on experience.

I'm working with a global trading firm that is building a highly technical AI team in the UAE and is looking for exceptional Agentic AI Engineers to work on the next generation of intelligent, autonomous systems.

This is a research-heavy engineering role focused on building and improving agentic systems, agent harnesses and multi-agent architectures, rather than simply integrating existing LLM APIs.

Key experience we're looking for:

  • Agent harness engineering and experience building agent execution/orchestration systems.
  • Multi-agent architectures and autonomous agent workflows.
  • ReAct agents and reasoning-based agent design.
  • Deep Research agents and complex research workflows.
  • LangGraph and/or similar agent orchestration frameworks.
  • MCP (Model Context Protocol) and tool-use architectures.
  • Strong understanding of the underlying AI/ML concepts powering modern agentic systems, including LLMs, transformers and RAG.

Background:

  • PhD preferred, particularly from a leading academic institution, although exceptional candidates with a Master's or Bachelor's from a top university will also be considered.
  • Strong research, engineering and problem-solving ability.
  • Candidates do not need prior trading or financial markets experience.

If you're working at the forefront of agentic AI, multi-agent systems or AI agent infrastructure, I'd be keen to speak.

More Info

Key Skills

Deep Research agents

Tool-use architectures

Agent harness engineering

Reasoning-based agent design

MCP Model Context Protocol

Agent execution orchestration systems

RAG

Multi-agent architectures

Autonomous agent workflows

Complex research workflows

ReAct agents

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