Full-Time

Staff Software Engineer

Full Stack

Confirmed live in the last 24 hours

Rad AI

Rad AI

51-200 employees

AI-driven software for radiology workflows

No salary listed

Senior, Expert

Remote in USA

Remote-first company; candidates must be based in the United States.

Category
Full-Stack Engineering
Software Engineering
Required Skills
FastAPI
Python
JavaScript
React.js
Git
TypeScript
REST APIs
HTML/CSS
Requirements
  • 8+ 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
  • Experience architecting, developing, and operating backend systems that can scale globally, using best practices for design and development
  • 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
Responsibilities
  • Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness
  • Leading the team by coaching others and driving ways of working through continuous improvement
  • 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
  • Take operational responsibility for the services that are owned by your team, including joining an on-call rotation
Desired Qualifications
  • 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

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 into existing radiology systems, making it easier for radiologists to work. Unlike competitors, Rad AI focuses specifically on radiology and medical imaging, serving a variety of clients from large health systems to individual radiologists. The company aims to provide secure, reliable software solutions while maintaining high standards for data security and patient privacy, as evidenced by its SOC 2 Type II and HIPAA certifications.

Company Size

51-200

Company Stage

Series C

Total Funding

$139M

Headquarters

San Francisco, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Rad AI raised $60M in Series C funding, boosting global AI deployment.
  • Rad AI's collaboration with AGFA enhances radiology workflow efficiency and precision.
  • Generative AI increases radiograph efficiency by 48% at Radiology Associates of North Texas.

What critics are saying

  • Increased competition from AI companies like DeepMind with advanced models.
  • Potential over-reliance on AI may reduce demand for human radiologists.
  • Rapid global expansion may challenge data security and compliance.

What makes Rad AI unique

  • Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.
  • Rad AI integrates AI with FHIRcast for seamless radiology workflow interoperability.
  • Rad AI is SOC 2 Type II and HIPAA certified, ensuring high data security standards.

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Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

-3%
Intelligence360
Feb 6th, 2025
Rad AI Secures $60M Series C Funding

Rad AI has closed a $60 million Series C funding round, led by Transformation Capital, valuing the company at $525 million. This investment will accelerate the development and deployment of Rad AI's generative AI technology for healthcare providers globally. Rad AI's solutions, including Rad AI Reporting and Rad AI Continuity, aim to improve radiologist efficiency, reduce burnout, and enhance patient care. The company has raised over $140 million to date and is expanding its team.

Best of AI
Jan 27th, 2025
Healthcare startup Rad AI has raised a new round of funding from Transformation Capital at a $525 million valuation

Rad AI, a healthcare startup founded in 2018, recently raised $60 million in a Series C funding round led by Transformation Capital, valuing the company at $525 million, as it continues to develop AI-powered tools to automate tasks for radiologists and reduce burnout.

Business Insider
Jan 24th, 2025
Rad AI raises $60M at $525M valuation

Rad AI, a healthcare startup, raised a Series C funding round led by Transformation Capital, valuing the company at $525 million. The round brought in about $60 million. This follows a $50 million Series B led by Khosla Ventures in May 2024. Rad AI, founded in 2018, uses generative AI to automate tasks for radiologists. The company is working with nearly half of all US health systems and 9 of the 10 largest radiology practices.

PR Newswire
Dec 2nd, 2024
Agfa Healthcare And Rad Ai Announce Strategic Collaboration To Enhance Radiology Workflows

Collaboration addresses longstanding inefficiencies in radiology workflow, as well as reducing burnout and empowering radiologists to focus on what truly matters - "staying in the flow". CHICAGO, Dec. 2, 2024 /PRNewswire/ -- AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows. Building on its leadership in Enterprise Imaging, AGFA HealthCare is raising the bar with Rad AI Reporting and FHIRcast integration. These cutting-edge solutions, powered by AI-driven reporting, enable radiologists to work faster, smarter, and with greater precision. By addressing critical workflow inefficiencies, AGFA HealthCare and Rad AI are not just setting the industry standard in data exchange and interoperability — they are shaping the future of radiology

PR Newswire
Dec 1st, 2024
Rad Ai Reporting Revolutionizes Radiology: 48% Increase In Efficiency At One Of The Nation'S Largest Private Practices

AI-driven innovation increases radiograph efficiency by 48%, improves overall productivity by 25%, and alleviates radiologist fatigue. CHICAGO, Dec. 1, 2024 /PRNewswire/ -- Radiology Associates of North Texas (RANT), the largest private radiology practice in Texas and one of the largest in the nation, is transforming its operations with Rad AI Reporting, achieving a 48% increase in radiograph reporting efficiency and a 25% increase in overall hourly RVU productivity. These impressive results highlight Rad AI's longstanding leadership in generative AI. "It's incredible that Rad AI Reporting won AuntMinnie's 'Best New Radiology Software' recognition at last year's RSNA, and now, in 2024, we are already demonstrating transformational results as we deploy Rad AI Reporting to radiology groups nationwide," said Josh Duncan, Senior Vice President of Sales, Marketing, Customer Success. "The feedback and outcomes from RANT showcase why Rad AI Reporting is the fastest-commercialized software in radiology history."