The Full-Stack Engineer will design, build, and operate the web applications and APIs that power AI agents in the Biometrics & Data Science department
Job Summary
The Full-Stack Engineer will design, build, and operate the web applications and APIs that power AI agents in the Biometrics & Data Science department.
You will deliver secure, scalable services and intuitive UIs for prompt authoring, code review, lineage, and approvals, integrating with model inference, metadata, and execution backends.
Close collaboration with AI engineers, statistical programmers, data scientist, and statisticians is essential to turn user needs into reliable, auditable production systems.
Matching Summary
The Full-Stack Engineer will design, build, and operate the web applications and APIs that power AI agents in the Biometrics & Data Science department.
Skills & Requirements
Must-have
design, build, and operate web applications
secure, scalable services and intuitive UIs
engineering best practices: testing, CI/CD
containerization, observability, and security-by-design
collaboration with AI engineers and data scientists
end-to-end delivery of AI-driven platforms
REST/GraphQL APIs and model inference integration
Nice-to-have
familiarity with AI application patterns
experience building code review platforms
experience with data lineage and provenance
domain-driven design and event-driven architectures
exposure to clinical data standards
Key Requirements
3-5 years professional full-stack development experience
Proficiency in modern front-end framework and TypeScript
Proficiency in back-end development with Python, Node.js, or Java
Experience designing and consuming REST/GraphQL APIs
Hands-on experience with containerization and CI/CD pipelines
Solid understanding of authentication/authorization and secrets management