Rad AI

Senior Software Engineer, Full Stack

United States

$145,000 – $190,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, SaaSIndustries

Senior Software Engineer

Salary: $145K - $190K Location Type: Remote Employment Type: Full-Time

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. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.

We’ve raised over $140M, including a recent $60M Series C financing round, valuing the company at $525M and led by Transformation Capital, with participation from existing investors including Khosla Ventures and others. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than 1/3 of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S.

Recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie, and by Deloitte as the 19th fastest-growing company in North America, we are building cutting-edge AI products that make a real impact. If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us:

We’re seeking a Senior Software Engineer with full stack (any mix of front end, backend, and database) experience 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, and 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.
  • Work on a modern Javascript (React/Typescript) frontend application.
  • 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, UX, Customer Success and other stakeholders to iterate on new features and address defects.
  • Advocate for improvements to product quality, security, and performance that have a particular impact across your team.

Who We’re Looking For:

  • 5+ years of industry full stack engineering experience with single and multi-tenanted environments.
  • In-depth knowledge of Javascript / TypeScript, 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.
  • Fluency with HTML, CSS, responsive design, and other related web technologies.
  • Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.
  • 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.

Nice to Haves:

  • Experience with TypeScript and React.
  • Experience with Python, FastAPI, Starlette, SQLAlchemy.
  • 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.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

Skills

Full Stack Development
React
Typescript
Javascript
Web Applications
Database

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Health Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
Paid Holidays
Remote Work Options
Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.
Rapid AI technology evolution requires Rad AI to continuously innovate.
AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.
Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.
Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.
Rad AI raised $50M in Series B funding, boosting its expansion capabilities.
Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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