1 day ago
Base Salary
$187k - $224k/yr
Responsibilities
- Develop large-scale progressive and single-page web applications that improve user workflows.
- Build and maintain React and TypeScript frontend features.
- Develop Python and FastAPI backend services, REST APIs, and ML pipeline services.
- Build features supporting Rad AI’s growing customer base.
- Write maintainable, secure, high-quality code for a high-scale HIPAA web environment.
- Collaborate with Product Management, UX, Customer Success, and other stakeholders on features and defects.
- Advocate for improvements to product quality, security, and performance.
- Diagnose and prevent performance and optimization problems at large scale.
Requirements
- 6+ years of industry full-stack engineering experience with single- and multi-tenant environments.
- In-depth knowledge of JavaScript or TypeScript, Python, and FastAPI or equivalent modern languages and frameworks.
- Knowledge of relational and document-based databases and other large-scale data storage paradigms.
- Knowledge of modern web architecture and best practices.
- Fluency with HTML, CSS, responsive design, and related web technologies.
- Familiarity with cross-browser compatibility, accessibility, browser networking, IndexedDB, and WebSockets.
- Experience with unit and integration testing.
- Experience working on a distributed team and using Git for version control.
- Experience diagnosing and preventing large-scale performance and optimization problems.
- Preferred experience with React, Starlette, SQLAlchemy, PostgreSQL, Auth0, Amplitude, early-stage startups, HIPAA-compliant environments, FHIR, HL7, and machine learning.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k).
- 11 paid company holidays.
- Flexible PTO policy.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- Applicants may be located anywhere in the United States, with a strong preference for San Francisco; San Francisco employees are expected onsite four days per week, with remaining time potentially remote or onsite.
Tech Stack
Categories
About Rad AI
Rad AI builds AI software for radiologists and health systems to streamline reporting and radiology workflows, integrating with PACS and EHR systems. Products include generative AI tools for report drafting and quality improvement used by radiology groups and hospitals such as Cone Health, Geisinger, and Henry Ford Health. Founded in 2018, the privately held company is headquartered in San Francisco.
