Founding AI Product Engineer (LLM + UX)

About The Role And Potential Progression

We’re building a new product to solve one of the biggest challenges facing enterprises in the next decade : capturing and preserving expert knowledge before it’s lost to retirement .

As a Founding AI Product Engineer , you’ll take ownership of a brand-new product at the intersection of AI, UX, and knowledge management . You’ll design, prototype, and validate an AI-driven system that interviews subject matter experts (SMEs), captures their tacit knowledge, and transforms it into professional documentation — all with the help of state-of-the-art LLMs.

You’ll work directly with internal stakeholders and pilot customers to understand needs, test hypotheses, and ship early versions fast. This is a rare opportunity to own a high-impact product from zero to one.

That's in for you

• Awareness instead of political decisions : Unleash your potential in a corporate culture that values personal responsibility and promotes data-driven decisions.
• Dynamic learning : Develop yourself continuously with access to books, coaching and LinkedIn Learning - all without fear of making mistakes.
• Excellent working environment : As a top company that has won multiple awards, we offer an environment that supports professional growth and guarantees appreciation.
• Flexibility and equal opportunities : Use flexible working models with the option of working from home. With us, your contribution counts, regardless of your position.
• Dog-friendly office : Bring your dog - all family members are welcome here.
• Celebrate together : Experience how we celebrate successes together at team events, from summer parties to vinyard hikes.

How you can make an impact

• Design and implement the AI interview process , using LLMs (via Azure OpenAI) to dynamically ask meaningful questions and capture deep expertise.
• Build or orchestrate a transcript-to-training pipeline that uses prompt engineering and iteration to convert interview content into high-quality knowledge base articles.
• Conduct user interviews with SMEs and knowledge managers to validate needs, improve UX, and refine prompting strategies.
• Own the end-to-end prototype or MVP , integrating audio recording, transcription, LLM APIs, and a simple frontend / editor interface.
• Collaborate with our product and dev team on goals, experiments, and roadmap — you’ll be the hands-on builder and product thinker in one.

Skills to be successful

• Have hands-on experience with LLMs . You know how to craft prompts, test outputs, and iterate.
• Are product-minded — you think in terms of user needs, flows, and value , not just code.
• Have experience with user research , interviews, or at least deep curiosity about how real users think.
• Can work autonomously, take initiative, and communicate clearly.
• Bonus : experience in knowledge transfer / knowledge management.