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AI Engineer

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Onsite

AI Engineer

Confidential

AI Engineer

Skills

Data EngineeringPythonProduct ManagementDatabricksMachine LearningAIAWSKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

31 August 2026

What they need


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 within banking, fintech, or another highly regulated environment is advantageous.

Ready to join us? Apply today and take the next step in your career.

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