[Remote] Software Engineer, Full Stack (Platform) at Rad AI

United States

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$125,000 – $150,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Candidates should have a minimum of 3 years of full stack engineering experience, with expertise in both single and multi-tenanted environments, and a strong understanding of Javascript/TypeScript, Python and FastAPI, or equivalent modern languages and frameworks. They should possess in-depth knowledge of relational and document-based databases, as well as other large-scale data storage paradigms, and familiarity with modern web architecture and best practices. Fluency in HTML, CSS, responsive design, and related web technologies is also required, alongside experience with unit and integration testing, distributed teams, version control using Git, and performance optimization at scale.

Responsibilities

The Software Engineer will develop on large-scale progressive and single-page web applications to streamline user workflows, build Python, FastAPI backend services including REST APIs and ML pipeline services, and write code that meets internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment. They will work with Product Management, UX, Customer Success, and other stakeholders to iterate on new features and address defects, advocating for improvements to product quality, security, and performance. Additionally, they will contribute to developing new features that support the company's growing customer base and work with external integrations such as Auth0 and Amplitude.

Skills

Full Stack Development

Front End

Backend

Database

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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