Rad AI

Senior Software Engineer, Full Stack

Brazil

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical ImagingIndustries

Position Overview

  • Location Type: Remote

  • Employment Type: Contract

  • About Rad AI: Rad AI is on a mission to transform healthcare with artificial intelligence. We’re revolutionizing radiology—saving time, reducing burnout, and improving patient care. We’ve secured over $140M in funding and have AI-powered solutions 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.

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.

Requirements

  • 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 systems.

Responsibilities

  • Develop responsive and performant web applications.
  • Develop backend services including REST APIs and ML pipeline services.
  • Build new features to support customers.
  • Write secure and maintainable code.
  • Collaborate with Product Management, UX, Customer Success, and other stakeholders.

Salary

  • Salary information not provided in the original text.

Skills

JavaScript
TypeScript
React
FastAPI
Python
REST API
ML pipeline
relational databases
document databases

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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