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voize is building AI companions that automate digital workflows for frontline workers in healthcare, enabling them to focus on patient care rather than administrative busywork. The company is backed by $50M Series A funding (Balderton Capital, HV Capital, Y Combinator) and serves 2,000+ facilities with 200,000+ active users.
As a Senior Fullstack Engineer, you will co-own voize's ML App—an in-house platform for annotation, data exploration, ML training orchestration, model evaluation, and HIPAA-compliant data flows. Your mission is to build tooling so robust that external vendors (Labelbox, Encord) become unnecessary, while enabling secure training on US customer data.
Day-to-day responsibilities:
- Co-own the ML App codebase (React/TypeScript frontend, Kotlin backend services, Kotlin ETL on EKS)
- Design and ship features for data labeling, data exploration, ML training orchestration, model evaluation, model playgrounds, and ML-issue triage
- Drive the next iteration of annotation tooling—UX, throughput, task-type extensibility—to vendor-competitive quality
- Maintain CI/CD pipelines, EKS deployments, and LGTM-stack observability; triage and fix production defects
- Collaborate with the Platform team on prerequisites (FGA proxy, OIDC) for new training flows
The role offers stock options, 30 vacation days plus birthday off, Germany Transport Ticket, Urban Sports Club membership, regular company off-sites, learning platform access (Blinkist, Audible), free language courses, and flexible working hours with hybrid setup in Berlin.
Requirements:
- 5+ years building production fullstack web applications with React and TypeScript
- Excellent Kotlin or JVM backend experience (services, ETL/data pipelines, schema design)
- Demonstrated ownership of a complex, production-critical system
- Comfortable engineering with regulated/sensitive data (HIPAA, GDPR, BAA, PHI, or equivalent)
- Strong product and UX instincts, particularly for annotation, labeling, data exploration, and ops UI
