Rad AI

Principal Software Engineer

United States

$190,000 – $240,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare Technology, Artificial IntelligenceIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: $190K - $240K

Rad AI is transforming healthcare with artificial intelligence. We’re revolutionizing radiology, saving time, reducing burnout, and improving patient care. We’ve secured over $140M in funding and have AI solutions used by thousands of radiologists, supporting nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies, we're building AI-powered solutions that make a real impact.

We are seeking a visionary Principal Engineer to lead our cutting-edge reporting product – a cornerstone initiative that's shaping the future of Rad AI. This highly visible role offers a unique opportunity to revolutionize how radiologists work by creating technology that meaningfully saves time and reduces burnout. Join our team and make a profound impact on our product strategy and execution.

Requirements

  • Demonstrated success as a principal engineer or equivalent technical leadership role.
  • Exceptional technical expertise with a proven ability to drive innovation and establish best practices.
  • Advanced knowledge of modern software architecture and engineering principles.
  • AI experience is highly valuable for this transformative role.
  • Proven track record of implementing architecture standards that enable engineering excellence.

Responsibilities

  • Partner directly with the VP of Engineering to architect and drive the technical vision for our reporting product.
  • Elevate engineering excellence by serving as a technical mentor and role model across the organization.
  • Design forward-thinking solutions that deliver measurable business value while anticipating emerging technological trends.
  • Collaborate strategically with adjacent teams to accelerate innovation and achieve breakthrough results.
  • Establish robust engineering standards and guide the team in building scalable systems to support our rapid growth.
  • Foster an inclusive culture that encourages diverse perspectives and open communication.

Skills

Software Engineering
Technical Leadership
System Architecture
Innovation
Scalability
Mentoring
Engineering Standards
Healthcare AI
Radiology Software

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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