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Founding AI Product Engineer (LLM + UX)

SlidePresenter GmbH

Frankfurt

Vor Ort

EUR 55.000 - 90.000

Vollzeit

Vor 30+ Tagen

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Zusammenfassung

An innovative company is seeking a Founding AI Product Engineer to spearhead a groundbreaking product at the intersection of AI and knowledge management. This role offers the unique chance to design and implement AI-driven systems that capture and preserve expert knowledge. You'll work closely with stakeholders and users to validate needs, iterate on prototypes, and ensure a seamless user experience. If you're passionate about AI, user-centric design, and driving impactful change, this is the opportunity for you. Join a dynamic team that values personal responsibility and continuous learning in a supportive environment.

Leistungen

Flexible working models
Access to books and coaching
Dog-friendly office
Team events and celebrations

Qualifikationen

  • Hands-on experience with LLMs and crafting prompts.
  • Experience in user research and understanding user needs.

Aufgaben

  • Design and implement AI interview processes using LLMs.
  • Conduct user interviews to validate needs and improve UX.
  • Own end-to-end prototype integrating various technologies.

Kenntnisse

LLMs
User Research
Prompt Engineering
Autonomous Work
Communication Skills

Tools

Azure OpenAI

Jobbeschreibung

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.
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