2 hours ago
Base Salary
$175k - $245k/yr
Responsibilities
- Develop large-scale progressive and single-page web applications that improve radiology workflows.
- Develop Python and FastAPI backend services, including REST APIs and ML pipeline services.
- Build features supporting a rapidly 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 improvements to product quality, security, and performance.
- Mentor engineers through technical guidance, code reviews, design collaboration, and engineering-practice development.
Requirements
- 7+ years of industry engineering experience with single- and multi-tenanted 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 distributed teams 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, or machine learning.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k) plan.
- 11 paid company holidays and flexible PTO.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- Location arrangements depend on the posting: San Francisco roles require four days onsite per week, while United States–Remote roles are open to candidates anywhere in the United States.
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.