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Applied AI Engineer Digital Natives
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Forward Deployed Engineer Jobs by OpenAI
OpenAI Visit OpenAI website
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
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Maintainer signals as of 9/25/2026
San Francisco, United States
Funding history
- Funding round
- Expanded revolving credit facility
- New investment ($110B)
Investors
Projects
- Trading Terminal
About OpenAI
OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.
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Skills
Agent, Ai, Data Governance, Evaluation, Integration, Javascript, Machine Learning, Observability, Privacy, Python, Reliability, Retrieval, Security, Typescript
Candidate Availability
Hybrid
London
Required
Required and preferred rules are kept separate and reflect the wording in the original posting.
About The Role
You will work directly with customer product and engineering teams to turn ideas into reliable, scalable AI systems. You will build prototypes, evaluation harnesses, integrations, and production accelerators; diagnose implementation issues; guide technical decisions; and create reusable architectures and playbooks.
Requirements
- Experience designing, building, and delivering enterprise AI or machine-learning systems from prototype to production
- Substantial hands-on contributions in code, architecture, evaluation, debugging, or production engineering
- Proficiency in Python
- Experience with JavaScript, TypeScript, or another relevant language is valuable
- Knowledge of systematic AI evaluation using representative data, graders, production signals, and human judgment
- Experience with enterprise integrations, reliability, observability, security, privacy, data governance, performance, and cost
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Responsibilities
- Identify high-value customer opportunities and translate them into architectures, implementation plans, evaluation strategies, and success criteria
- Design, build, and deploy AI systems that deliver measurable business outcomes
- 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, and governance
- Diagnose implementation challenges, reproduce failures, test hypotheses, and resolve blockers
- Help customers move from prototypes to reliable production systems and sustained adoption
- Translate deployment experience into product feedback
- Create reusable architectures, tooling, playbooks, and technical guidance
Benefits
- Hybrid work model with three office days per week
- Relocation assistance for new employees
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