Rad AI

Staff Software Engineer, Continuity

Rad AI$150K — $180K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in engineering with multi-tenanted environments
  • Expertise in Python and FastAPI or similar modern languages/frameworks
  • Familiarity with relational and document-based databases
  • Understanding of modern web architecture and best practices
  • Experience with unit and integration testing
  • Proficient in Git for version control
  • Skills in diagnosing and resolving performance issues at scale
  • Experience with AI-assisted development tools and workflows.

Responsibilities

  • Develop large-scale progressive and single-page web applications
  • Build Python and FastAPI backend services including REST APIs and ML pipelines
  • Create new features to support a growing customer base
  • Ensure code meets security, style, and maintainability standards
  • Collaborate with cross-functional teams on feature iteration and defect resolution
  • Advocate for quality and performance improvements
  • Mentor and guide junior engineers through best practices.

Benefits

  • Comprehensive Medical, Dental, Vision & Life insurance
  • HSA (with employer match), FSA, & DCFSA
  • 401(k) retirement plan
  • 11 Paid Company Holidays
  • Flexible PTO policy
  • Annual company-wide offsite
  • Periodic team offsites
  • Annual equipment stipend.
Full Job Description
About Continuity:

Continuity is Rad AI's care coordination and follow-up product, helping radiology teams make sure important findings do not fall through the cracks. The team builds and operates the applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with a strong emphasis on reliability, scalability, and operational excellence in a sensitive healthcare environment. This work sits at the intersection of product, engineering, implementations, and customer needs, and is central to helping Rad AI deliver measurable value for health systems and radiology practices.

Why Join Us:

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.

What You'll Be Doing:
  • 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.
Who We're Looking For:
  • 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.
Nice to Haves:
  • 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

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:
  • Comprehensive Medical, Dental, Vision & Life insurance
  • HSA (with employer match), FSA, & DCFSA
  • 401(k)
  • 11 Paid Company Holidays
  • Flexible PTO policy
  • Annual company-wide offsite
  • Periodic team offsites
  • Annual equipment stipend
  • For roles based outside the US, your recruiter can share more details

About Rad AI

Rad AI is a medical technology company that uses artificial intelligence to improve the accuracy and efficiency of radiology. The company was founded in 2019 and is based in San Francisco, California. Rad AI's technology is designed to help radiologists identify and diagnose medical conditions more quickly and accurately, which can lead to better patient outcomes. The company's team includes experts in radiology, machine learning, and software engineering.
Learn more about Rad AI
Size
10 employees
Industry
Founded
2018

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