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AI Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Confidential
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 350000 - 520000 AED Yearly AED 350000.00 520000.00 YEAR
Job Description & How to Apply Below

We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about artificial intelligence, machine learning, and building production-grade AI solutions, we'd love to hear from you.

As an AI Engineer, you'll play a key role in building the models, agents, and GenAI services that power an AI-native bank. Working closely with Data Engineering, AI Product Management, and Platform teams, you'll develop and deploy intelligent solutions that drive automation, customer experiences, and operational efficiency at scale.

Responsibilities
  • Design, build, and deploy machine learning models, GenAI services, and AI-powered applications in production environments.
  • Develop agentic workflows, orchestration solutions, and AI services integrated into banking processes.
  • Build retrieval-augmented generation (RAG) pipelines, vector search capabilities, and grounding services.
  • Create and maintain evaluation frameworks, behavioural regression testing, and monitoring processes for AI systems.
  • Collaborate with product and engineering teams to identify and deliver high-value AI use cases.
  • Apply modern software engineering practices including CI/CD, testing, observability, and AI-assisted development.
Requirements
  • 6+ years of experience building and deploying AI, machine learning, or GenAI solutions in production.
  • Proven experience delivering LLM, RAG, or agentic AI applications beyond proof-of-concept stage.
  • Strong experience with cloud AI/ML platforms such as Databricks, Azure, AWS, and MLflow.
  • Hands-on experience with Python, Kubernetes, CI/CD pipelines, and modern software development practices.
  • Experience building AI evaluation frameworks, monitoring solutions, and production-grade observability.
  • Experience with in banking, fintech, or another highly regulated environment is advantageous.
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