What you'll bring:

• Technical leadership mindset with high agency and proactive drive—obsessed with building world-class systems and enabling teams to ship exceptional user experiences.
• 8+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work), with 3+ years shipping LLM/GenAI features to users (RAG, tool use, planning, agent frameworks e.g MCP, multi-agent systems).
• Strong ML fundamentals with hands-on experience in model evaluation, self-evolving agents (e.g Memory).
• Deep expertise in distributed systems design: API architecture, data modeling, high-throughput async systems, event-driven architectures, caching strategies, and performance optimization.
• Advanced retrieval engineering experience: embeddings, sophisticated chunking strategies, hybrid search algorithms, schema/metadata design, knowledge graphs, comprehensive eval frameworks, and production monitoring.
• Proven track record of technical leadership: driving architecture decisions, mentoring engineers, and establishing engineering best practices.
• Experience with cloud native development at scale, ideally AWS, but GCP is a strong plus, too.
• Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.
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Bonus skills:

• Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on building robust, dependency-aware pipelines at scale.
• Track record of technical writing, open-source contributions, or speaking at industry events.
• Fluent German is a big plus, to improve the interaction between you and our user base.
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