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Applied AI Engineer, Codex

OpenAI· Go To Market
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Hybrid (Madrid, Spain)Full-timePosted 4w ago

About the role

Applied AI Engineer role focused on Codex within OpenAI, partnering with engineering organizations to design, build, and deploy AI-powered software development workflows, evaluation systems, and scalable deployments that improve engineering productivity and software delivery. Hybrid Madrid-based full-time position with relocation assistance.

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

  • Have a demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production.
  • Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting.
  • Can point to substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering—not only program, enablement, or stakeholder management.
  • Proficient 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 that demonstrate and deliver what AI coding systems can enable.
  • Understand how to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and mechanisms for incorporating developer feedback.
  • Navigate enterprise production requirements such as developer tooling integrations, reliability, observability, security, privacy, data governance, performance, and cost.
  • Connect technical decisions to developer workflows, adoption, engineering productivity, and measurable business outcomes.
  • Communicate with clarity and credibility across hands-on engineers, engineering leaders, security teams, product leaders, and executives.
  • Comfortable leading technical workshops and hands-on sessions that help engineering organizations adopt new development workflows and technologies.
  • Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous and rapidly evolving environments.
  • Learn quickly, challenge assumptions constructively, and collaborate with humility; deep prior experience with OpenAI products is not required.
  • Speak English and Spanish fluently.

Skills

Required:Python
Nice to have:JavaScript/TypeScript
Last updated Sep 24, 2026. Interested? Apply on the company site.

About OpenAI

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