Rad AI

Software Engineer, Full Stack

United States

$125,000 – $150,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $125K - $150K

Rad AI is revolutionizing healthcare with artificial intelligence. We’re on a mission to transform radiology, saving time, reducing burnout, and improving patient care. 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 $60M Series C round led by Transformation Capital, bringing our valuation to $525M. 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. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

Requirements

  • 2+ 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
  • Experience with HIPAA compliant environments

Responsibilities

  • Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness.
  • Develop a modern Javascript (React/Typescript) frontend application.
  • Develop 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 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.

Application Instructions

  • (Details not provided in the job description)

Skills

Javascript
TypeScript
Python
FastAPI
React
Relational Databases
Document Databases
HIPAA Compliance

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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