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Head of AI Engineering

Unlock employer Dubai, United Arab Emirates Posted: 04 Feb 2026

Financial

  • Estimate: $150k - $180k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The company is on a mission to empower people with more visibility, control, and freedom over their finances. With a diverse range of products helping over 65 million customers, we’re focused on building a culture where our brilliant teams can thrive. Our Technology team creates the systems that drive our innovative app, and we are currently seeking a Head of AI Engineering to lead a talented group of 50+ engineers. This role involves providing technical oversight, leading major projects, and collaborating with cross-functional teams to align engineering efforts with business goals.

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What You'll Be Doing:

  • Leading and mentoring a diverse engineering team while promoting best practices and technical excellence.
  • Owning the product and solution architecture with an emphasis on quality control and code optimization.
  • Collaborating with various teams to enhance engineering processes and improve overall quality and efficiency.
  • Influencing best practices to ensure consistency across the company.
  • Working with senior leadership to define and execute a technical roadmap that supports business objectives.
  • Optimizing team performance as a functional leader and playing a pivotal role in the hiring process.

What You'll Need:

  • A bachelor’s degree in computer science, mathematics, physics, or a related field.
  • Experience in building and leading a software engineering team in a scaling organization.
  • Strong software architecture skills, particularly in scalable distributed systems.
  • Big-picture thinking to accurately diagnose problems and formulate innovative solutions.
  • Excellent communication and collaboration skills.

Nice to Have:

  • Hands-on experience with JVM languages.
  • Experience in a startup or scale-up environment.
  • Familiarity with operating AI infrastructure, especially in optimizing LLM inference and training at scale.
  • In-depth knowledge of GPU architecture and CUDA programming.

At the company, we are committed to diversity and inclusion, encouraging applications from individuals with varied backgrounds and experiences. This helps us build exceptional products and fosters an innovative work environment.

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