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Applied AI Engineer, Codex | Tokyo

OpenAI· Go To Market
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Tokyo, JapanFull-timePosted 7mo ago

About the role

Applied AI Engineer focused on Codex in Tokyo, collaborating with engineering leaders and customers to design, build, and deploy AI-powered software development workflows, evaluate AI coding systems, and translate deployments into measurable productivity and adoption gains.

Responsibilities

  • Partner directly with engineering leaders and hands-on developers to identify high-value opportunities for Codex and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
  • Design, build, and deploy AI-powered software development workflows that improve how engineering teams plan, write, test, review, debug, and deliver software.
  • Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators—often using Codex as part of your own development process.
  • Help customers progress from promising experiments to reliable production workflows, sustained developer adoption, and scaled impact across engineering organizations.
  • Design systematic approaches for evaluating AI coding systems using representative software engineering tasks, automated graders, production signals, and developer feedback.
  • Make sound technical decisions across models, agents, tools, developer environments, integrations, reliability, observability, latency, cost, safety, security, and operational readiness.
  • Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive technical blockers toward resolution.
  • Lead technical deep dives, workshops, and hands-on enablement that help engineering teams understand and adopt advanced AI coding workflows effectively and safely.
  • Gather high-fidelity insights from real-world Codex deployments and translate them into clear product proposals, model feedback, and technical requirements for OpenAI Product, Research, and Engineering teams.
  • Create reusable architectures, tooling, examples, guides, and technical patterns—including contributions to resources such as the OpenAI Cookbook—that accelerate future Codex deployments.
  • Influence customer engineering strategy by helping technical leaders understand how AI coding systems can reshape their software development lifecycle, engineering practices, and organizational workflows.

Qualifications

  • Demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production.
  • Backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting.
  • Proficiency in Python; comfortable across modern software development environments; experience with JavaScript, TypeScript, or another relevant language is valuable.
  • Active user of AI coding tools with a strong point of view on how AI can improve developer productivity and software engineering workflows.
  • Enjoy building high-signal prototypes, integrations, automations, and production solutions.
  • Ability to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and incorporating developer feedback.
  • Experience navigating enterprise production requirements such as developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Ability to connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes.
  • Clear communication across hands-on engineers, engineering leaders, security teams, product leaders, and executives.
  • Comfort leading technical workshops and hands-on sessions for adopting new development workflows and technologies.
  • High agency, strong technical judgment, end-to-end ownership in ambiguous, rapidly evolving environments.
  • Ability to learn quickly, challenge assumptions constructively, and collaborate with humility.
  • Japanese and English fluency.

Skills

Required:PythonSystems design and integrationEvaluation of AI coding systemsCustomer-facing storytelling and workshops
Nice to have:JavaScript / TypeScript
Last updated Sep 10, 2026. Interested? Apply on the company site.

About OpenAI

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