Applied AI Engineer

OpenAI
Abu Dhabi
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Technical judgment","Communication","End-to-end ownership","Problem-solving","Collaboration"]

Partner with enterprise organizations to design, build, and deploy AI systems that deliver measurable business outcomes. Work hands-on from use-case selection and architecture through prototyping, evaluation, production launch, and scaling—writing and debugging code, building evaluation harnesses, and resolving complex integrations. Make technical decisions across reliability, latency, cost, safety, security, governance, and operational readiness while translating deployment experience into high-signal product feedback.

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FursaFursa
OpenAI
OpenAI
2 days ago

Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Partner with enterprise organizations to design, build, and deploy AI systems that deliver measurable business outcomes. Work hands-on from use-case selection and architecture through prototyping, evaluation, production launch, and scaling—writing and debugging code, building evaluation harnesses, and resolving complex integrations. Make technical decisions across reliability, latency, cost, safety, security, governance, and operational readiness while translating deployment experience into high-signal product feedback.
Location: Abu Dhabi
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and success criteria.
  • •Design, build, and deploy AI systems to solve customer problems and drive measurable business outcomes.
  • •Work hands-on to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
  • •Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, governance, and operational readiness.
  • •Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.

Pay and Benefits

Perks:Relocation

Key Requirements

  • •Demonstrated track record designing, building, and delivering AI/ML systems in enterprise environments, taking systems from prototype to production.
  • •Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering.
  • •Highly proficient in Python and comfortable across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
  • •Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
  • •Experience navigating enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Experience:Enterprise AIMachine learningApplied AI
Skills:Technical judgmentCommunicationEnd-to-end ownershipProblem-solvingCollaboration
Tech Stack:PythonJavaScriptTypeScript

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor