Overview
OpenAI is hiring an Applied AI Engineer in Abu Dhabi to work directly with organizations on designing, building, evaluating and deploying production AI systems.
Full job description
The role spans enterprise AI architecture, hands-on prototyping and integration, evaluation systems, reliability, observability, safety, security, governance, latency and cost. It is based in Abu Dhabi under OpenAI's hybrid model of three office days per week. The official posting states that relocation assistance is offered to new employees; it does not state a salary or a specific visa-sponsorship commitment, so neither is inferred here.
Requirements & qualifications
OpenAI is seeking candidates with a demonstrated track record designing, building and delivering AI or machine-learning systems in enterprise environments, substantial hands-on contributions in code and architecture, strong Python proficiency, and experience evaluating and operating AI systems in production. Experience with JavaScript, TypeScript or another relevant language is valuable but not required.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Verified against the live official OpenAI Careers posting, which currently shows an Apply now action for the Abu Dhabi Applied AI Engineer role. The page states a three-days-per-week hybrid model and relocation assistance for new employees. No closing date or salary is stated.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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