At praxipal, we are building an AI-powered healthcare admin workforce to address the global shortage of medical staff.
Medical assistants are too valuable to spend their days chasing callbacks, cleaning up schedules, sending repetitive messages, or wrestling with invoicing and documentation workflows. Our AI receptionist, Luna, answers and automates phone calls and she's loved by more than 100 medical practices. Right now, we're expanding her from calls to end-to-end patient communication across any channel. Over the next years, we'll grow her into an AI worker that automates all administrative processes in medical practices, embedded directly into the systems teams already use.
We're backed by one of Europe's leading investors and are one of the fastest growing healthtech startups in Germany. Our team has previously worked and studied at Palantir, Amazon, SAP, the University of Cambridge, and Hasso Plattner Institute.
We're hiring a Senior Software Engineer to build the integration foundation that enables Luna to automate practice workflows across hundreds of thousands of medical practices.
That data lives in practice management systems (PMS) and related tools.
This is a deeply technical, hands-on engineering role. This role is on-site in Berlin and requires fluent German.
Engineer reliability into the system: data consistency, idempotency, retries, error handling, observability
Build reusable patterns that let us support new vendors faster without creating a fragile maintenance burden
Improve debuggability and incident response through better logs, metrics, tracing, and diagnostics
Strong hands-on programming experience in TypeScript or Rust
Proven experience building and running complex data integrations in production
Comfort operating in messy environments (inconsistent behavior, missing docs, etc.)
Fluent German (spoken and written)
Several years of experience in startups or scale-ups
Prioritize work on healthcare software or practice management systems
Familiarity with healthcare workflows, terminology, or data standards (eg FHIR)
Experience improving reliability in production systems (observability, incident response, rollout strategies)
We optimize for impact in production: automation practices trust daily.
We're hands-on and pragmatic: upstream systems are imperfect; If you want to shape the next generation of healthcare software with us, apply now.