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Applied AI Engineer, Digital Natives

OpenAI · London, UK

Posted Nov 3, 2026 · full time

Est. total comp~$158K–$260K

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From the posting

About the Team

OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.

Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.

About the Role

As an Applied AI Engineer, you will partner directly with Digital Native companies to design, build and deploy AI-powered products and systems. Working alongside customer product and engineering teams, you will take ideas from early experimentation through evaluation, production launch and scale, connecting technical decisions to user experience and measurable business impact.

You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. …

Excerpt from OpenAI's public job board. Read the full posting.

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Skills and tools: Python, Java, JavaScript, TypeScript

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About this listing. Pulled automatically from OpenAI's public job board and refreshed daily; closed roles are removed. Mars Mining Co. is not the employer, does not take applications and does not screen candidates. Field and level labels come from the job title and can be wrong.

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About the pay figures (~): These are estimates. Yearly figures are estimated total comp ranges: the employer's posted pay range, or, with no posted pay, the median to 90th-percentile BLS wage for similar jobs, plus typical benefits and bonus, without stock. Hourly figures for internships and contract roles are posted rates or BLS hourly wage ranges. Figures outside the U.S. and for loosely matched titles are rough ballparks. How we estimate