Rad AI

Software Engineer, Full Stack

United States

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

Requirements

Candidates should possess at least two years of experience as a full-stack engineer, with expertise in single and multi-tenanted environments, and a strong understanding of Javascript/TypeScript, Python, and FastAPI or equivalent modern languages and frameworks. They should also have in-depth knowledge of relational and document-based databases, along with experience in developing secure, maintainable, and high-scale HIPAA-compliant web environments.

Responsibilities

The Software Engineer will be responsible for developing on large-scale progressive and single-page web applications to streamline user workflows, building modern Javascript (React/Typescript) frontend applications, developing Python, FastAPI backend services including REST APIs and ML pipeline services, writing code that meets internal standards for security, style, maintainability, and best practices, and working with Product Management, UX, Customer Success, and other stakeholders to iterate on new features and address defects. They will also advocate for improvements to product quality, security, and performance.

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.

Key Metrics

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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