[Remote] Staff Software Engineer, Full Stack - Platform at Rad AI

United States

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$180,000 – $230,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial IntelligenceIndustries

Skills

Key technologies and capabilities for this role

Platform EngineeringHealthcare Data PlatformMedplumHL7Generative AISoftware DevelopmentSystem Design

Questions & Answers

Common questions about this position

What programming languages and technologies are required for this role?

The role requires Python and TypeScript, with specific experience in Python/FastAPI for backend services including REST API and ML pipelines, and React/TypeScript for the modern JavaScript frontend.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this Staff Software Engineer role?

This information is not specified in the job description.

What kind of team will I be working with in this role?

You'll collaborate with Product Management, UX, Customer Success, and other stakeholders to iterate on new features.

What makes a strong candidate for this Staff Software Engineer position?

A strong candidate thrives on building robust, scalable backend systems in Python and TypeScript, has experience with large-scale web applications, FastAPI, React, and writing secure, maintainable code for a high-scale HIPAA environment.

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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