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Rad AI

Senior Software Engineer, Full Stack - Reporting Product

San Francisco - Onsite; United States - RemoteRemote · United States
Senior · FullTime · Engineering
POSTED 9 NOVVERIFIED 8H AGO
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Role
0 days opentrue age
Posted 9 Nov
Payats field
$150k–224kposted
▼ −9% vs market median $205k
$150k$225k
Market p25–p75
$187k–$225k
SF Bay Area · n=64 · 365d to 6 Nov
CompanyRad AI →
23open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
1,186open · Senior Full-stack
Opened · 7d
+726% of open
All full-stack
3,307open
All tracked boards · live 10 Nov · n=1,186
Visa
3H-1B LCAs · FY26
Median wage
$190k
LCAs FY26 · n=3 · to 2026-06-03
TypeScriptJavaScriptReactCSSPythonFastAPIPostgreSQLLLMs

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us

We’re seeking a Senior Software Engineer with full stack (any mix of front end, backend, and database) experience to join our team building the future of radiology. These roles will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application.

What You’ll Be Doing

Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness

Work on a modern Javascript (React/Typescript) frontend application

Develop our Python, FastAPI backend services including a REST API and ML pipeline services

Build new features that support our rapidly growing number of customers

Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment

Work with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defects

Advocate for improvements to product quality, security, and performance that have a particular impact across your team

Who We’re Looking For

6+ years of industry full stack engineering experience with single and multi-tenanted environments

In-depth knowledge of Javascript / TypeScript, Python and FastAPI, or equivalent modern languages/frameworks

Knowledge of relational and document based databases, as well as other large scale data storage paradigms

Knowledge of modern web architecture and best practices

Fluency with HTML, CSS, responsive design, and other related web technologies

Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.

Experience with unit and integration testing, test-driven development preferred

Experience working on a distributed team and strong version control skills using git

Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

Nice to Haves

Experience with Typescript and React

Experience with Python, FastAPI, Starlette, SQLAlchemy

Experience with PostgreSQL

Experience with 3rd-party integrations such as Auth0, Amplitude

Experience working at an early-stage startup

Experience in a HIPAA-compliant environment, especially with FHIR and HL7

Experience working on machine learning

Source · Rad AIFirst seen 9 NovOriginal ↗