Senior AI Engineer

• Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.
• Design and ship backend-first agentic services combining LLM services -taking full responsibility for system design, APIs, and data integrity.
• Build retrieval & knowledge layers (embeddings, vector stores, metadata schemas, glossary, memories) that make suggestions accurate across different input scenarios.
• Own production quality: tracing, retries, fallbacks, prompt/version control, AB tests, feature flags, rollbacks.
• Support user interviews, contribute to product planning, and collaborate with cross-functional teams to drive impactful projects.

Do you have experience in TypeScript?, Do you have a Master's degree?, * Builder and owner mindset,with high agency and proactive drive to move fast - obsessed with shipping the best user experience and winning on product.

• 6+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work towards customer-facing app. ), with 1-2 years shipping LLM/GenAI features to users (RAG, tool use, planning, or agent frameworks e.g MCP).
• Proven experience in systems design: API design, data modeling, high load async worker queues, eventing, caching
• Retrieval engineering experience: embeddings, chunking, similarity search, hybrid search algorithms, schema/metadata design, knowledge graphs, eval dataset design, and offline/online evals.
• Experience with cloud native development, ideally AWS, but GCP is a strong plus too.
• Great communication skills in English.

Bonus skills:

• Applied ML fundamentals alongside theoretical experience
• Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on dependency-aware pipelines
• Fluent German is a big plus, to improve the interaction between you and our user base

• Competitive salary
• Work in a great team of talented and highly motivated people
• Dynamic environment, steep learning curve, and extensive development opportunities
• Part of an exciting FinTech startup in the German healthcare market
• Responsibility, independent work, and high flexibility
• Generous budget for learning and development
• First-class work equipment and flexible working hours
• Deutschlandticket or Swapfiets rental bike
• Urban Sports Club membership