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PraxiPal
Development 9h ago

Senior Software Engineer (AI-Powered Healthcare Admin Workforce)

PraxiPal
United StatesUnited States
Full-time
Competitive salary and participation in our VSOP program
Senior-Level

Job Description

Key Skills Required

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Python2h 41mFree Trial ✨
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Integration PatternsRustTypeScriptDistributed Systems

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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 is 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.

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 development, maintenance, and incident handling

What We’re Looking For

Must-Have

  • Strong hands-on programming experience in Python, TypeScript, and/or Rust
  • Proven experience building and running software in production
  • Strong understanding of integration patterns, distributed systems, and failure modes
  • Comfort operating in messy environments (inconsistent behavior, missing documentation, etc.)
  • Clear communication under pressure (during incidents, vendor issues, competing priorities)
  • Excited to work in a fast-paced environment

Nice-to-Have

  • Prior work on healthcare software or practice management systems
  • Familiarity with healthcare workflows, terminology, or data standards (e.g., FHIR)
  • Fluent German (spoken and written)
  • Experience in startups or scale-ups

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PraxiPal (operating at praxipal.com) is an AI-powered healthcare workforce platform engineered for medical practices and clinics. Founded in 2024 by Daniel Woelki and Martin Graf, and headquartered in Berlin, PraxiPal addresses the critical staffing shortages plaguing healthcare front desks. Traditional receptionist roles are increasingly strained by labor shortages, leading to inefficiencies and patient dissatisfaction. Under the hood, PraxiPal leverages advanced AI to handle patient inquiries, appointment scheduling, and call coordination—operating autonomously around the clock. This allows healthcare providers to maintain seamless patient engagement without the overhead of hiring additional staff. Backed by a €5.7 million seed funding round led by HV Capital in July 2025, PraxiPal is positioned to scale its AI-driven solution across the European healthcare landscape.

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