Tech Lead (Medical Coding Agents) (m/w/d)

About Recare

As one of the leading German HealthTech companies, we are reshaping discharge management: technology-driven, patient-centered and free from bureaucracy. In addition to our market-leading SaaS platform, we develop AI solutions that radically simplify processes in hospitals and for aftercare providers, relieve healthcare professionals and refocus attention on patients. Today, we already connect two-thirds of all German hospitals with thousands of rehabilitation clinics, nursing and homecare providers. With around 100 employees, we continue to grow, and we’re looking for people with character who want to help us improve the healthcare system.

What you’ll do as our Tech Lead (Medical Coding Agents) (m/w/d):

German hospitals are paid a fixed amount per case, based on the codes assigned to it. Insurers dispute a share of the bills through an external medical audit, and the hospital can appeal when the audit cuts a bill. Recare is building medical coding agents to rebuild this chain: they read the case file, propose codes, assess audit findings and draft appeals. A subject matter expert reviews every result.

You’ll lead the technical development of this product. The role is about 80% hands-on building and 20% leading, and it grows with the platform into areas beyond billing.

• Technical direction: set the architecture with the team across backend, frontend and a data model built on healthcare standards such as FHIR. Set the technical roadmap with the team and deliver on it predictably.

• Agent orchestration: design how models, deterministic rules and human review fit together. Work with our AI engineers on system design.

• Hands-on delivery: build the backend for cases, documents and long-running agent runs, including the append-only decision log that keeps every case audit-proof when an insurer challenges it months later.

• Product partnership: be the technical counterpart to the product manager and the subject matter experts on planning, specs and trade-offs.

• Production quality: own reliability, observability and security in a sensitive healthcare context, with an eval harness built from expert-reviewed cases as a CI gate.
  
  

How we work:

• AI coding agents: engineers use them every day and take responsibility for the code we ship. Product managers and designers prototype in our codebase too, and engineers review what goes to production.

• Human-in-the-loop: agents propose, the expert accepts, corrects or rejects, and every decision is logged with its evidence.

• Shipping: we release early to development partners and switch features on per hospital.

• Data protection: EU-only inference and no patient data in logs are hard constraints.

• Ownership: product owns what we build and why. The tech lead owns how it’s built and that it ships.

• Stack: TypeScript, Node.js and Go, Python for inference, Postgres, React, AWS Bedrock, Docker and Datadog.

• Success: measured in revenue hospitals keep, not in usage.