Rad AI

Senior Software Engineer

United States

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

Requirements

Candidates should have 5+ years of industry full stack engineering experience in single and multi-tenanted environments. Required skills include in-depth knowledge of Javascript/TypeScript, Python, and FastAPI, or equivalent modern languages/frameworks, as well as knowledge of relational and document-based databases, modern web architecture, and best practices. Fluency with HTML, CSS, responsive design, and related web technologies is necessary, along with familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs. Experience with unit and integration testing, working on distributed teams with strong version control using git, and diagnosing/preventing performance and optimization problems at large scale are also required. Experience with React, Starlette, SQLAlchemy, PostgreSQL, 3rd-party integrations, early-stage startups, and HIPAA-compliant environments are considered nice to have.

Responsibilities

The Senior Software Engineer will develop large-scale progressive and single-page web applications to streamline user workflows and improve efficiency. This includes working on modern Javascript (React/Typescript) frontend applications and developing Python/FastAPI backend services with REST APIs and ML pipeline services. Responsibilities also involve building new features for a growing customer base, writing code that meets internal standards for security, style, maintainability, and best practices in a high-scale HIPAA web environment, and collaborating with Product Management, UX, and Customer Success teams to iterate on features and address defects. The role also requires advocating for improvements to product quality, security, and performance.

Skills

Full Stack Development
Front End Development
Back End Development
Database Development
Software Engineering

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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