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Rad AI

Senior Software Engineer - Health Data Platform

San Francisco - Onsite; United States - RemoteRemote · United States
Senior · FullTime · Engineering
POSTED 10 NOVVERIFIED 13M AGO
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Role
0 days opentrue age
Posted 10 Nov
Payats field
$187k–224kposted
▲ +3% vs market median $200k
$184k$225k
Market p25–p75
$184k–$225k
SF Bay Area · n=51 · 365d to 10 Nov
CompanyRad AI →
23open roles
Opened · 30d
+0
Closed · 30d
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3d of snapshots · 30d window
Market
1,232open · Senior Data engineering
Opened · 7d
+696% of open
All data engineering
3,843open
All tracked boards · live 11 Nov · n=1,232
Visa
3H-1B LCAs · FY26
Median wage
$190k
LCAs FY26 · n=3 · to 2026-06-03
TypeScriptJavaScriptReactCSSPythonFastAPILLMs

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 looking for a Senior Software Engineer to join our platform team and help build and maintain our healthcare data platform. In this role, you'll develop tools and systems that power mission-critical products like our Reporting application, working with platforms like Medplum and health data formats such as HL7.

You'll play a key role in designing and supporting the backend infrastructure that connects directly to the products we deliver to customers. The role is backend-heavy and ideal for someone who thrives on building robust, scalable systems in Python and TypeScript.

This is a unique opportunity to work at the intersection of engineering and healthcare, shaping how healthcare data flows across the company.

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

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 Have

Experience with React

Experience with Starlette, SQLAlchemy

Source · Rad AIFirst seen 11 NovOriginal ↗