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OpenAI's Applied AI Engineering team helps organizations deploy frontier AI capabilities into safe, reliable, and high-impact production systems. This role focuses on Codex, OpenAI's AI coding system, and involves partnering directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed.
You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery.
Key responsibilities include: partnering with engineering leaders to identify high-value opportunities and translate them into technical architectures and implementation plans; designing and deploying AI-powered software development workflows; building prototypes, evaluation harnesses, reference implementations, and production accelerators; helping customers progress from experiments to reliable production workflows and scaled impact; designing systematic evaluation approaches for AI coding systems; making sound technical decisions across models, agents, tools, and operational concerns; diagnosing complex implementation challenges; leading technical workshops and enablement; gathering insights from real-world deployments and translating them into product proposals and technical requirements; creating reusable architectures and technical patterns; and influencing customer engineering strategy.
You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how engineering organizations build software.
The role is based in the Madrid office with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees.
REQUIREMENTS:
- Demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds include applied AI/ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting.
- Substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering—not only program, enablement, or stakeholder management.
- High proficiency in Python and comfort working 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.
- Ability to build high-signal prototypes, integrations, automations, and production solutions.
- Understanding of how to evaluate AI coding systems systematically, including designing representative tasks, automated evaluations, production signals, and mechanisms for 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 with credibility across hands-on engineers, engineering leaders, security teams, product leaders, and executives.
- Comfort leading technical workshops and hands-on sessions.
- High agency, strong technical judgment, and end-to-end ownership in ambiguous and rapidly evolving environments.
- Quick learning, constructive challenge of assumptions, and collaborative approach; deep prior experience with OpenAI products is not required.
- Fluent English and Spanish language skills.
