Frontend Engineer (2+ yrs) — RADAX.ai
Build delightful UIs that drive AI-powered medical imaging.
Location: Taipei (Hybrid) • Work Style: Remote-friendly (TW)
Why RADAX.ai
We’re building an enterprise AI platform that turns complex medical imaging into faster, safer decisions by integrating advanced imaging, multiple diagnostic models, and hospital systems. You’ll ship real clinical features and grow alongside an experienced software team and AI experts, including a Stanford-trained clinician-engineer.
What you’ll do
Own the
frontend development lifecycle (design → development → launch → iteration).
Design and optimize AI-integrated UX (e.g., AI annotations, LLM-assisted workflows, study lists).
Collaborate with radiologists, data scientists, and backend engineers to define flows that actually fit clinical reality.
Raise the quality bar: performance, accessibility, reliability, and pragmatic testing where it matters.
You’ll thrive here if you
Be a proactive communicator and collaborative teammate.
Balance craft with speed—know when to optimize and when to deliver.
Think product-first: consider not only engineering but also user value and product outcomes.
Willing to dive into unfamiliar domains.
Creative and pragmatic problem solver who brings innovative ideas.
Must-haves
2+ years of modern
frontend experience.
Strong React and TypeScript.
Comfortable with Git and collaborative workflows (PRs, reviews).
Basic understanding of 2D/3D graphics concepts (coordinate systems, transforms).
Willingness to read and understand third-party library docs and source code.
Hands-on use of AI tools to speed up development (prompting, code assist, etc.).
Nice to have
Canvas/WebGL or image-processing experience.
Medical-imaging experience (we currently use Cornerstone3D for medical imaging).
Electron desktop app development experience.
Practical testing experience (unit/integration/E2E).
Familiarity with clinical workflows and PACS/RIS.
What you’ll gain
Ship real clinical features that radiologists and clinicians use.
Cross-disciplinary learning with AI experts and a Stanford-trained clinician-engineer.
Ownership and fast growth in an early-stage startup; your voice matters in product decisions.
Compensation: Salary tailored to role and experience (early-stage startup).
Equity: Equity participation based on level and contribution.
How to apply
Send your résumé/GitHub/portfolio to [
[email protected]] with “
Frontend Engineer – RADAX.ai” in the subject. A brief note about a UI you’re proud of (and why) helps a lot.Candidates who pass the initial screening will be contacted within 14 business days. If you do not hear from us, it means you were not selected at this time; we will retain your information for future openings. Thank you for your understanding.