Applied AI Engineer, Codex

Applied AI Engineer focused on Codex, based in OpenAI's Madrid office. The role partners directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed, from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. Hybrid work model of 3 days in the office per week.

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 success criteria; Design, build, and deploy AI-powered software development workflows; Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, workflow automations, and production accelerators; Help customers progress from experiments to reliable production workflows and sustained developer adoption; Design systematic approaches for evaluating AI coding systems; Make sound technical decisions across models, agents, tools, developer environments, reliability, observability, latency, cost, safety, security, and operational readiness; Diagnose complex implementation challenges and drive technical blockers toward resolution; Lead technical deep dives, workshops, and hands-on enablement; Translate real-world Codex deployment insights into product proposals, model feedback, and technical requirements; Create reusable architectures, tooling, examples, guides, and technical patterns, including contributions to the OpenAI Cookbook; Influence customer engineering strategy regarding the software development lifecycle

Requirements

Demonstrated track record of designing, building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production; Substantial personal contributions in code, architecture, evaluation, debugging, integrations, or production engineering; Highly proficient in Python and comfortable working across modern software development environments; Active user of AI coding tools with a strong point of view on AI-driven developer productivity; Experience building high-signal prototypes, integrations, automations, and production solutions; Ability to evaluate AI coding systems systematically, including representative tasks, automated evaluations, production signals, and developer feedback; Experience with 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 business outcomes; Clear and credible communication with engineers, engineering leaders, security teams, product leaders, and executives; Comfortable leading technical workshops and hands-on sessions; High agency, strong technical judgment, and end-to-end ownership in ambiguous environments; Ability to learn quickly, challenge assumptions constructively, and collaborate with humility; Fluent in English and Spanish

Nice to have

Experience with JavaScript, TypeScript, or another relevant language; Deep prior experience with OpenAI products is not required

Benefits

Relocation assistance for new employees