3 hours ago
Base Salary
$150k - $224k/yr
Responsibilities
- Develop large-scale progressive and single-page web applications that improve user workflows.
- Develop Python and FastAPI backend services, REST APIs, and ML pipeline services.
- Build features for Rad AI’s growing customer base.
- Write secure, maintainable, high-quality code for a high-scale HIPAA web environment.
- Collaborate with Product Management, ML, Data Science, Customer Success, and other stakeholders on features and defects.
- Advocate for product quality, security, and performance improvements across the team.
- Improve the codebase and product through code reviews, design collaboration, and stronger engineering practices.
Requirements
- Minimum of 5+ years of industry engineering experience with single- and multi-tenant environments.
- In-depth knowledge of 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.
- Experience with unit and integration testing.
- Experience working on a distributed team and strong version-control skills using Git.
- Experience diagnosing and preventing performance and optimization problems at large scale.
- Experience using AI-assisted development tools and workflows while maintaining code quality, reliability, and security.
- Preferred experience with 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.
- The role may be San Francisco onsite four days per week or remote within the United States, depending on the listed location and business needs.
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.