Rad AI

Rad AI

Staff Software Engineer, Continuity Product

San Francisco - Onsite · Staff+ · Full-time

Sponsorship not specifiedDetected 22 days ago
PythonFastAPIBackend DevelopmentFull-Stack DevelopmentCode ReviewGitPostgreSQLRESTMachine LearningData ScienceLLMsComplianceValuationCustomer SuccessHIPAAHL7/FHIRPatient CareRadiologyCollaboration

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odds of building a lasting career here

28Risky
Cap-exempt (no lottery)0
Sponsors this role45
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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from this employer's Department of Labor filings

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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About the role

  • With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
  • Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M.
  • If you're ready to shape the future of healthcare, we'd love to have you on our team!

Responsibilities

  • 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
  • Mentor engineers on the team through technical guidance, code reviews, design collaboration, and development of strong engineering practices.
  • Knowledge of relational and document based databases, as well as other large scale data storage paradigms
  • 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.
  • We're seeking a Staff Software Engineer to join our team building the future of radiology.
  • Build new features that support our rapidly growing number of customers

Requirements

  • 7+ years of industry engineering experience with single and multi-tenanted environments
  • Experience with unit and integration testing
  • 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

Compensation

  • Annual company-wide offsite

Benefits

  • At Rad AI, we're on a mission to transform healthcare with artificial intelligence.
  • Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others-all backing our mission to empower physicians with cutting-edge AI.
  • Experience working on machine learning
  • 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!

Company info

  • ABOUT RAD AI At Rad AI, we're on a mission to transform healthcare with artificial intelligence.
  • Founded by a radiologist, our AI-driven solutions are revolutionizing radiology-saving time, reducing burnout, and improving patient care.
  • Most recently, Rad AI was named to CNBC's Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission.

This listing is sourced directly from Rad AI's careers page and normalized into a canonical job model.