Senior Fullstack Engineer — AI Health Tech (Remote, Stock Options)

voize; Województwo mazowieckie; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Job summary

voize is a fast-growing startup shaping how frontline teams work by building AI companions that automate digital workflows. As a Senior Fullstack Engineer, you’ll co-own voize's ML App – spanning React/TypeScript frontend, Kotlin services, and data pipelines on EKS – to enable HIPAA-compliant training on US customer data.

You will design features for data labeling, exploration, ML orchestration, and model evaluation, while maintaining CI/CD and observability.

Qualifications

• 5+ years building production fullstack web apps with React + 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 similar).
• Strong product / UX instincts (annotation, labeling, data exploration, ops UI).

Responsibilities

• Co-own the ML App codebase (React/TS SPA + Kotlin services + Kotlin ETL on EKS).
• Design and ship features for data labelling, data exploration, ML training orchestration, model evaluation, model playgrounds, and ML-issue triage.
• Drive the next iteration of in-house annotation tooling - UX, throughput, task-type extensibility - to the bar where vendor revisits are unnecessary.
• Maintain CI/CD, EKS deploys, and LGTM-stack observability for ML App; triage and fix defects.
• Pair with the Platform team on platform-side prerequisites (FGA proxy, OIDC) that the new training flows depend on.

Skills

React/TypeScript

Kotlin backend

Ownership

HIPAA/GDPR compliance

UX/product instincts

Job description

voize is a fast-growing startup shaping how frontline teams work by building AI companions that automate digital workflows. As a Senior Fullstack Engineer, you’ll co-own voize's ML App – spanning React/TypeScript frontend, Kotlin services, and data pipelines on EKS – to enable HIPAA-compliant training on US customer data.

You will design features for data labeling, exploration, ML orchestration, and model evaluation, while maintaining CI/CD and observability.