Staff Software Engineer, Rad AI
Artificial Intelligence
$170-210k
+ Equity
AI systems for radiologists
Job no longer available
AI systems for radiologists
101-200 employees
Job no longer available
$170-210k
+ Equity
101-200 employees
Company mission
Rad AI's mission is to empower radiologists with AI — saving radiologists time, reducing burnout, and helping to improve the quality of patient care.
Role
Who you are
- 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
- Experience with data modeling and data pipeline design to support product and ML monitoring, evaluation, and iteration
- Experience with unit and integration testing
- Experience working on a distributed team and strong version control skills using git
- Excellent communication and technical coordination skills (you will be working across infrastructure spanning multiple areas and products, and communication and coordination skills will be key to your success)
Desirable
- Experience with Typescript and React
- Experience with Python, FastAPI, Starlette, SQLAlchemy
- Experience with PostgreSQL
- Experience working at an early-stage startup
- Experience in a HIPAA-compliant environment, especially with FHIR and HL7
- Experience working on machine learning products
What the job involves
- We are looking for a Software Engineer to join our AI product team and help build innovative interfaces that equip healthcare professionals with powerful AI tools
- Our AI product team is responsible for building features that leverage advanced language models and traditional machine learning tools across our product suite
- This role will sit at the nexus of our AI infrastructure and the full-stack products that leverage this infrastructure
- You will work with a talented team of engineers, researchers, design and product teams to design and implement AI-powered experiences, pushing the boundaries of what's possible with AI in healthcare
- Developing powerful solutions that leverage AI to streamline healthcare tasks and improve patient care
- Working with ML Engineers, Research Scientists, and Product Software Engineers to implement AI solutions directly in our full-stack applications
- Implementing tools and processes to monitor model behavior, performance, and alignment with user needs through the full lifecycle of AI development
- Working on a stack that includes a modern Javascript (React/Typescript) frontend, FastAPI Python backend, a RESTful service architecture, and a variety of modern data pipeline tools
- Writing high quality code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
- Working with a highly cross-functional team including product managers, UX researchers, customer success, and other stakeholders
Our take
Burnout seems to be reaching unprecedented and unsustainable levels amongst physicians, and radiologists are one of the most heavily impacted groups. A number of surveys have show that around 50% of them suffer from high workloads, which are exacerbated by outdated software and laborious work processes.
Rad AI, which was co-founded by the youngest radiologist in US history, is making serious inroads in alleviating these issues with AI. Its two main products are designed to save time; one by automatically generating impressions from dictated findings, and the other through automating patient follow-ups.
The company has been adding updates to its reporting software and is on a rapid growth trajectory, landing a number of respected radiology practices as customers and claiming industry awards. It has also secured major investment towards sustaining this momentum moving forwards, as more practices turn to AI to positively impact their patient care.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2025
$8m
SERIES C
Jan 2025
$60m
SERIES C
Total funding: $147m
Company benefits
- 100% health, dental, & vision
- Flexible PTO
- WFH stipend
- 401k plan
- Stock options
- Socials & off-sites
Company HQ
Financial District, San Francisco, CA
Leadership
Doktor Gurson
(Co-founder & CEO)Co-founded and was CEO of portable smartphone charger startup Doblet (acquired by Alturki Holding). Has also founded a number of website hosting and migration companies. Is an Advisor to GoLinks, and BillionToOne.
Dr. Jeff Chang
(Co-founder)Youngest radiologist and second youngest doctor in US history, ER Radiologist at Greensboro Radiology. Was Co-founding CTO of Doblet. Has been an Advisor to medical device company Ikigai as well as a number of other startups.
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