About this role
Developers who enjoy balancing hands-on coding with public speaking, community engagement, and direct customer interaction will find a natural fit in this Munich-based role. The Applied AI Engineering group functions as a bridge between frontier startups and the core product and research divisions, ensuring technology is deployed securely while capturing customer insights to shape future model behavior.
Daily work centers on helping startup founders and engineers transform software development workflows using Codex. Responsibilities include leading technical workshops, delivering live demonstrations, building reusable integrations, and resolving complex technical blockers alongside individual customers.
This position exists because customer reality and model quality must inform one another directly. Success requires strong software engineering fundamentals combined with deep empathy for developers and the ability to turn practical observations into clear feedback for internal engineering teams.
What you will do
- Partner with top startups to identify where Codex can have the greatest impact on how their teams build and ship software.
- Design and lead technical talks, live demos, workshops, hackathons, and repeatable hands-on programmes that turn initial interest into sustained adoption.
- Work directly with selected customers to build Codex workflows, integrations, and automations, resolve technical blockers, and evaluate effectiveness and reliability.
- Turn successful approaches into reusable code examples, guides, and tools that help more startups succeed with Codex and OpenAI's broader platform.
- Collaborate with account teams, developer experience, and ecosystem partners to reach developers and founders, prioritise opportunities, and drive measurable customer value.
- Translate customer experiences and developer feedback into actionable insights for OpenAI's Product, Research, and Engineering teams.
What you need
- Bring experience building at, founding, or working closely with early-stage startups, and understand the pace, ambiguity, and practical trade-offs involved.
- Have strong software engineering fundamentals and enjoy building practical AI applications, integrations, and developer tools.
- Actively use Codex or other AI coding tools, with a thoughtful perspective on how they can improve software development.
- Demonstrate compelling communication skills with a track record of presenting, delivering live demos, and leading hands-on workshops for developers and founders.
- Possess a talent for turning complex technical ideas into clear explanations, engaging examples, and reusable resources that help others succeed.
- Combine developer empathy with sound technical judgment to uncover what a team needs, troubleshoot problems, and help them adopt effective workflows.
- Exhibit high agency, curiosity, and end-to-end ownership, working independently while collaborating closely with colleagues and ecosystem partners.
Skills and tech stack
Questions candidates ask
What will I actually be working on?
You will help developers and founders transform how they build and ship software by combining hands-on engineering, startup experience, and technical communication. This involves working directly with selected customers to build Codex workflows, integrations, and automations, as well as resolving technical blockers.
What are the team's primary responsibilities?
The Applied AI Engineering team works closely with frontier startups to ensure that OpenAI's technology is deployed safely and effectively. The team also partners with engineering, research, and product to turn customer insights into evaluation systems, product improvements, and better model behavior.
What qualifications are required for this position?
Candidates need experience working closely with early-stage startups, strong software engineering fundamentals, and active use of Codex or other AI coding tools. You should also be a compelling communicator who enjoys presenting and leading workshops.