Confidential

AI Engineer

Confidential

Abu Dhabi Emirate, United Arab Emirates · Full Time

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Experience
6+ yrs
Salary
Openings
1
Posted
3 days ago
Work mode
In office
Resume
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Job description

About the Role

Join a pioneering financial services institution in the UAE focused on creating a digital-first, AI-centered bank. This role provides a distinctive chance to influence the foundational technology, data architecture, and AI capabilities of a well-backed and ambitious venture. This opportunity suits individuals passionate about AI, machine learning, and delivering robust AI-powered solutions in live environments.

Key Responsibilities

  • Design, develop, and deploy machine learning models, generative AI services, and AI-driven applications for production use.
  • Implement agent-based workflows, orchestration systems, and AI services embedded within banking operations.
  • Construct retrieval-augmented generation pipelines, vector search functionalities, and grounding mechanisms.
  • Develop and uphold evaluation frameworks, behavioural regression testing, and monitoring processes for AI solutions.
  • Collaborate with product and engineering groups to pinpoint and execute impactful AI applications.
  • Adopt contemporary software engineering methodologies including continuous integration/delivery, testing, monitoring, and AI-enhanced development workflows.

Candidate Profile & Requirements

  • At least six years of professional experience in building and deploying AI, machine learning, or generative AI projects in production environments.
  • Demonstrated success delivering large language model, retrieval-augmented generation, or agentic AI applications beyond prototyping phases.
  • Proficiency with cloud-based AI and machine learning platforms such as Databricks, Microsoft Azure, Amazon Web Services, and MLflow.
  • Hands-on expertise in Python programming, Kubernetes orchestration, CI/CD pipeline development, and modern software engineering best practices.
  • Skilled in establishing AI evaluation metrics, monitoring capabilities, and observability frameworks suitable for production systems.
  • Experience working within banking, fintech, or other compliance-intensive sectors is considered a plus.

Tools & software

Kubernetes required Mlflow required Amazon Web Services AWS required Microsoft Azure required Databricks required Machine Learning required
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