R
Rad AI
Staff Software Engineer (Continuity)
Skills
PythonProduct ManagementData SciencePostgreSQLGitAmplitudeMachine LearningAIFastAPI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$175,000 – $230,000 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
12 August 2026
What they need
- We’re seeking a Staff Software Engineer 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, Product Leaders, and various other teams internally and externally to develop this responsive and performant application
- Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness
- 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, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects
- Advocate for improvements to product quality, security, and performance that have impact across your team
- Mentor engineers on the team through technical guidance, code reviews, design collaboration, and development of strong engineering practices
Benefits
- 100% health, dental, & vision
- Flexible PTO
- WFH stipend
- 401k plan
- Stock options
- Socials & off-sites- Experience working on a distributed team and strong version control skills using git
- Experience with unit and integration testing
- Knowledge of relational and document based databases, as well as other large scale data storage paradigms
- 7+ years of industry engineering experience with single and multi-tenanted environments
- Knowledge of modern web architecture and best practices
- In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks
- Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security
- Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems
- 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
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