Senior Frontend Engineer at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Productivity, SaaSIndustries

Requirements

Bachelor’s degree or higher in Computer Science/Engineering (preferred) and 5-7+ years of relevant industry experience
Proven experience in frontend development, with advanced experience in Typescript and React
Strong understanding of modern web development practices and responsive design
Experience with state management libraries such as Redux or Zustand
Excellent problem-solving skills with a pragmatic and customer-focused approach
Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
Experience mentoring developers to advance their skills and fostering a collaborative team environment

Responsibilities

Implement new features from product specifications and visual designs handed-off via Figma
Collaborate with cross-functional teams to design and develop scalable and maintainable APIs
Design and build responsive and accessible user interfaces that work seamlessly across different devices and browsers
Continuously improve upon and advocate for best practices in frontend development, including code quality, testing, and performance optimization
Provide critical and insightful feedback to the product team during the development processes
Take ownership of and drive specific product work-streams forward, making a significant impact on the future of Read

Skills

TypeScript

React

Figma

Responsive Design

Accessibility

Browser Extensions

Performance Optimization

Testing

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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