AI & Platform Innovation Engineer

Tasks

• Develop AI-agentic solutions from scratch or integrating existing agents and foundational technologies. This involves close cooperation with our Business Development team and other users.
• Use AI to aggressively ship high-quality code. Architect and build AI‑first software solutions for complex user‑stories: scalable, robust, maintainable.
• Work closely with stakeholders to deliver end‑to‑end innovations.
• Own the full development pipeline: from design and development, through QA and deployment, to production monitoring.
• Lead architectural discussions, code reviews, and retrospectives; mentor fellow engineers.
• Champion AI‑powered features: integrate LLMs, RAG pipelines, agentic workflows, embeddings and deep learning frameworks to unlock business value.

Requirements

• Have excelled somewhere, somehow through an impacting technical contribution — one which we can talk about.
• Have experience in developing AI agents and integrating them into workflows.
• Be on top of the latest tools, models and trends in AI-assisted software engineering. We expect you to be amazing at context engineering (incl. prompting), to know when to leverage different models, and to have first-hand experience with Claude Code or Cursor.
• Know how to evaluate what you build. You can design eval sets, work with LLM-as-judge or ground-truth data, and use tracing and observability tooling to find and fix regressions.
• Have hands‑on record of building production‑grade software, preferably with AI components (LLMs, embeddings, PyTorch/TensorFlow, RAG pipelines, autonomous agents).
• Practice a truly agnostic approach to stack and tools: you pick the right tech for the problem — not vice‑versa.
• Show exceptional autonomy: your are able to self‑drive from idea to finished product, yet know when to collaborate and escalate.
• Have the ability to thoughtfully challenge ideas and drive constructive discussions (colleagues, product owners, CTO).
• Be a strong, respectful team player: highly autonomous but grounded in humility and partnership.
• Reside within ±3 hours of Central European Time (to enable effective collaboration), at best in one of our office locations in Barcelona, Berlin, Frankfurt, Leipzig, and Sevilla.
• Full professional proficiency in English at C2 level

Bonus

• Prior experience integrating AI into SaaS business workflows.
• Familiarity with modern AI‑tooling ecosystem (agents, memory systems, vector databases).
• Experience leading a tech team or architecting across the stack — from frontend to infrastructure.
• Professional proficiency in German.

Benefits

• You’ll work in an international, closely knit team of high‑performers and entrepreneurial spirits.
• Remote‑friendly + flexible work hours.
• Excellent compensation + participation in the company through our ESOP.
• Growth mindset: Hard skills are important — but mindset matters more. If you meet most of the requirements and you’re hungry to learn, apply anyway.

If you’re a high‑impact engineer who thrives on autonomy, drives real results, and is passionate about applying AI to change how teams work — let’s talk. Even if you don’t check every bullet above, but you bring exceptional drive, creativity, and a growth mindset, please apply — we believe the right mindset counts more than checkboxes.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung