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Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Jex Recruitment | Connecting top talent with leading companies
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 300000 - 550000 AED Yearly AED 300000.00 550000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer

We're hiring on behalf of a major Abu Dhabi-based enterprise that's scaling its applied AI capability, building AI/ML systems that plug directly into core operations, risk, and customer-facing products.

The Role

As a Staff AI Software Engineer, you'll be a senior technical leader, designing and shipping production-grade AI/ML systems s is a hands-on, high-influence role for someone who wants to shape how a major regional institution builds and deploys AI.

What you'll do
  • Architect and build scalable AI/ML systems, from prototype to production
  • Lead technical design decisions across the engineering team
  • Partner with data science, product, and engineering to translate business problems into deployable AI solutions
  • Set and champion engineering best practices, code quality, MLOps, model monitoring, and responsible AI
  • Mentor engineers and act as a technical reference point across the function
What we're looking for
  • Strong software engineering background (Python and/or relevant production languages)
  • Proven experience building and deploying ML/AI systems at scale (LLMs, NLP, or applied ML)
  • Solid grasp of MLOps, cloud infrastructure, and system design for production AI
  • Staff/Principal-level experience, someone who's operated as a senior IC or technical lead
  • Comfortable working in a regulated, enterprise environment
Why this role
  • Abu Dhabi, one of the region's fastest-growing hubs for applied AI in financial services
  • Ground-floor opportunity to shape AI strategy and engineering culture within a well-resourced innovation function
  • High-impact, high-visibility mandate within a major regional institution
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