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. Staff should spend time on patients. That’s why we build Luna.

Our AI receptionist, Luna, answers and automates phone calls and she’s loved by hundreds of medical practitioners. 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 practice 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 help us scale Luna from hundreds of medical practitioners to hundreds of thousands.

The role

Integration is the bottleneck and the unlock: Luna can only automate workflows when she can reliably read and write the source of truth inside a practice: schedules, patient context, messages, statuses, and workflow metadata. That data lives in practice management systems (PMS) and related tools.

You’ll work hands-on, shipping production integrations. As the integration surface grows, you’ll shape the architecture, standards, and processes that keep integration work scalable.

What you'll do

Build integrations that unlock Luna’s next capabilities

Design and implement read/write integrations into third-party practice management systems
Design infrastructure that scales to hundreds of thousands of individual practice servers
Engineer reliability into the system: data consistency, idempotency, retries, error handling, observability
Triage integration failures in production, communicate impact clearly, and harden the system so the same class of failure doesn’t repeat

Make integration a scalable capability

Define technical standards and architecture for integrations
Establish pragmatic processes for de

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