Staff Software Engineer, Rad AI

• 7+ years of industry engineering experience with single and multi-tenanted environments
• In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks
• Knowledge of relational and document based databases, as well as 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 with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems
• Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security

Desirable

• 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