Applied AI Engineer, Codex

Stack

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
• ▹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 adopt advanced AI coding workflows effectively and safely
• ▹Gather insights from real-world Codex deployments and translate them into 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
• ▹Influence customer engineering strategy by helping technical leaders understand how AI coding systems can reshape their 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, not only program, enablement or stakeholder management
• ▹High proficiency in Python and comfort across modern software development environments; experience with JavaScript, TypeScript or another relevant language is valuable
• ▹Active use of AI coding tools and a strong point of view on how AI can improve developer productivity
• ▹Understanding of how to evaluate AI coding systems systematically, including representative tasks, automated evaluations, production signals and incorporating 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 measurable business outcomes
• ▹Clear and credible communication with hands-on engineers, engineering leaders, security teams, product leaders and executives
• ▹Comfort leading technical workshops and hands-on sessions
• ▹Fluent English and German

Soft skills

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.