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AI Engineer

Unlock employer Dubai, United Arab Emirates Posted: 05 May 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

The AI Engineer is responsible for designing, building, deploying, and operating enterprise-grade AI and Generative AI solutions. The role focuses on taking models from experimentation to production, including LLM training and fine-tuning, MLOps pipelines, agentic workflows, document AI (OCR), and cloud-deployed AI applications. Strong software engineering and hands-on production experience are essential.

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Responsibilities

  • Own end-to-end delivery of production AI and Generative AI solutions, from design to deployment.
  • Build, train and fine-tune LLMs, including evaluation, optimization, and lifecycle management.
  • Develop agentic workflows and AI-driven automation for enterprise use cases.
  • Deliver Document AI and OCR solutions for finance, legal, and contract processing.
  • Engineer scalable AI applications using strong software engineering practices and APIs.
  • Implement MLOps pipelines for CI/CD, monitoring, versioning, and retraining.
  • Deploy and manage AI solutions on cloud platforms (primarily Azure) with security and governance.
  • Collaborate with business and technology teams to translate real-world problems into AI solutions.

Requirements

  • 3+ years of hands-on experience in AI/ML engineering, with proven exposure to production AI systems.
  • Demonstrated experience in training and fine-tuning LLMs (e.g., LoRA/QLoRA/PEFT), not limited to prompt engineering.
  • Strong software engineering foundation, including Python, APIs, microservices, and production-grade coding practices.
  • Experience delivering AI solutions to production, including deployment, monitoring, and lifecycle management (MLOps).
  • Practical exposure to document AI / OCR, agentic workflows, or enterprise automation use cases.
  • Experience with cloud platforms (preferably Azure; AWS/GCP acceptable) and containerized deployments (Docker/Kubernetes).

What We Offer
At the company, we’re on a mission to create great moments, to spread happiness, to build experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!

  • Work in a friendly environment, where everyone shares positive vibes and excitement about our future.
  • Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
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