Senior Dev Engineer.RBG - Central Squad.Retail Banking Group

Mashreq; United Arab Emirates; On-site; AED 300,000 - 500,000; Full time

Job summary

Mashreq Digital is looking for a Senior Engineer (AI Engineer) to accelerate and govern the adoption of AI across the engineering practice. This hands-on role requires deep software engineering skills in frontend or backend, applied to AI-assisted development.

You will collaborate with Principal Engineers to ensure alignment with engineering standards across Mashreq Digital. The selected candidate will write, review and ship production code, own the operational health of AI engineering, and

Qualifications

• Hands-on software engineer with depth in frontend or backend.
• Experience applying software skills to AI-assisted development.
• Ability to write and review production code.

Responsibilities

• Write, review and ship production code.
• Owns the operational health of AI engineering.
• Document trains & runs enablement to scale best practices.

Skills

AI engineering

Software engineering

Frontend or Backend development

Job description

The Senior Engineer (AI Engineer) is accountable for accelerating and governing the adoption of AI across Mashreq Digital's engineering practice, including building, rolling-out and maintaining the tooling, standards and controls that allow squads to deliver software with AI assistance safely, consistently and cost-effectively.

This is a hands‑on engineering role. The job holder will be a practicing software engineer with depth in either frontend or backend, and applies their engineer knowledge to AI-assisted development. They work with Principal Engineers, reporting to the Digital Engineering Chapter Lead, to ensure the AI practice is aligned with the engineering standards across Retail Banking Group.

The selected candidate will be responsible for the following areas:

• As a practicing engineer first and foremost, write, review and ships production code, and earns credibility with the squads they support
• Owns the operational health of AI engineering: adoption, output quality, token and license consumption, and cost per unit of delivery
• Documents trains & runs enablement, so good practice is scaled rapidly