Applied AI Engineer

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

Partner with enterprise customers to design, build, and deploy production AI systems that deliver measurable business outcomes. Write and debug code, create evaluation systems and prototypes, and solve complex integrations while making sound decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Help progress prototypes to reliable production, translate deployment learnings into product feedback, and build reusable architectures, tooling, and playbooks to scale impact.

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FursaFursa
OpenAI
OpenAI
2 days ago

Applied AI Engineer

āœ“ 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 customers to design, build, and deploy production AI systems that deliver measurable business outcomes. Write and debug code, create evaluation systems and prototypes, and solve complex integrations while making sound decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Help progress prototypes to reliable production, translate deployment learnings into product feedback, and build reusable architectures, tooling, and playbooks to scale impact.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

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

Pay and Benefits

Perks:Relocation

Key Requirements

  • ā€¢Demonstrated track record designing, building, and delivering AI or machine-learning systems in enterprise environments, taking systems from prototype to production.
  • ā€¢Substantial personal contributions in code, architecture, evaluation, debugging, or production engineering (not only program or stakeholder management).
  • ā€¢Proficient in Python and comfortable working across an AI application stack; experience with JavaScript or TypeScript (or another relevant language) is valuable.
  • ā€¢Ability to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
  • ā€¢Experience navigating enterprise production requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
Experience:EnterpriseApplied AIMachine learning
Skills:Technical judgmentCommunicationEnd-to-end ownershipProblem-solvingCollaboration
Tech Stack:PythonJavaScriptTypeScript

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·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
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