🐶🐱 Senior Fullstack Engineer
Radimal · San Francisco Bay Area ·
- Seniority
- Senior
- Category
- Fullstack
- Experience
- 5+ years
- Salary
- USD 170,000 – 210,000 / year
Radimal · San Francisco Bay Area ·
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Senior fullstack engineer at Radimal, a veterinary radiology platform, shipping end-to-end features across a live, operationally critical system used by veterinary practices 24/7. Day-to-day work spans React/TypeScript frontend and Python backend, with a focus on AI-assisted diagnostic workflows, case scheduling, and automation on AWS.
Compensation: $170k – $210k • No equity
$170,000 – $210,000 base
Remote
Company: Radimal – Veterinary Radiology Platform
Reports to: VP of Engineering
Radimal powers veterinary radiology for hundreds of practices across the United States. We support emergency hospitals, specialty centers, and fast-growing practice groups with diagnostic workflows used every day.
Our platform combines board-certified veterinary radiologists with AI-powered tools to deliver fast, accurate diagnostic insight. Many cases are time-sensitive. Doctors rely on us to move quickly and get it right.
This is a live, operationally critical system handling thousands of cases per month across time zones. When we ship improvements, they immediately affect real veterinary teams and real patient outcomes.
We operate at meaningful scale:
Radimal is financially healthy, growing, and embedded in daily clinical operations. This is serious software used in real-world medical environments.
We’re hiring a Senior Fullstack Engineer to increase shipping velocity and strengthen our AI-powered workflows.
You will work across React (frontend) and Python (backend) inside a live production system. The problems are real. The users are real. The impact is immediate.
This is not a research role and not an architecture ivory tower role. It is a high-agency product engineering role focused on shipping.
You should expect to contribute meaningfully within your first week.
Bridge the gap between complex radiological data and the veterinarian’s decision-making process. You'll ensure that when an AI generates an insight, it’s presented in a way that is intuitive, trustworthy, and actionable in a high-stress emergency environment.
Within 30 days:
Within 60 days:
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