Staff Software Engineer, Full Stack

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for "Best New Radiology Vendor" and 2023 award for "Best New Radiology Software" from AuntMinnie, Rad AI continued the momentum by earning a place on CB Insights' lists for "Most Promising AI Companies," "Most Innovative Digital Health Startups," and "Most Promising Private Digital Health Companies" in 2021, 2022, and 2023.

Why we're hiring for this role:

We’re seeking multiple Software Engineers across all levels with full stack (any mix of front end, backend, and database) experience to join our team building the future of radiology. This role 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.

This is what you'll do :

• 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

This is what you'll need:

• 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

This would be nice to have:

• 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

Rad AI offers a variety of benefits, including:

Comprehensive Medical, Dental, Vision & Life insurance

HSA (with employer match), FSA, & DCFSA 

401(k)

11 paid company holidays

Location-flexibility (remote-first company!)

Flexible PTO policy

Annual company-wide offsite

Periodic team offsites

Annual equipment stipend

Company sponsored co-working space benefit

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 8 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.