Staff Software Engineer, Continuity — Scale Healthcare AI

Rad AI; San Francisco (CA); Hybrid; USD 170,000 - 265,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, Vision,

HSA with employer match

401(k)

11 Paid Company Holidays

Flexible PTO

Annual company-wide offsite

Periodic team offsites

Annual equipment stipend

Job summary

Rad AI is hiring a Staff Software Engineer to join our SF-based team building AI-powered radiology applications. You will work with a cross-functional group of engineers, ML scientists, and product leaders to deliver scalable, secure software for healthcare providers.

You will contribute to backend services, APIs, and ML pipelines, while mentoring peers and upholding high standards for reliability, security, and performance in a HIPAA-compliant environment.

Qualifications

• Proven experience with Python and FastAPI in production
• Knowledge of relational and document databases
• Understanding of modern web architecture and API design
• Experience with unit and integration testing
• Strong Git version control practices
• Experience optimizing performance in large-scale apps
• Familiarity with AI-assisted development workflows

Responsibilities

• Develop on large-scale progressive and single-page web applications to streamline user workflows
• Develop Python/FastAPI backend services including REST APIs and ML pipelines
• Build features to support a growing customer base
• Write code meeting security, style, and maintainability standards for HIPAA environments
• Collaborate with Product, ML, Data Science, and Customer Success teams
• Drive product quality, security, and performance improvements across the team
• Mentor engineers through code reviews, design sessions, and best practices

Skills

Python

FastAPI

Relational DB

Document DB

Web architecture

Unit tests

Git

Performance optimization

AI-assisted development tools

Job description

Rad AI is hiring a Staff Software Engineer to join our SF-based team building AI-powered radiology applications. You will work with a cross-functional group of engineers, ML scientists, and product leaders to deliver scalable, secure software for healthcare providers.

You will contribute to backend services, APIs, and ML pipelines, while mentoring peers and upholding high standards for reliability, security, and performance in a HIPAA-compliant environment.