Senior Software Engineer - Backend at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

10+ years of professional experience in backend software engineering, with a strong track record of shipping production systems
Proficiency in Python (or similar languages such as Java, C++, or Node.js)
Experience designing and building distributed, cloud-native systems (preferably on AWS)
Deep understanding of API design, authentication/authorization protocols (OAuth2, JWT), and security best practices
Familiarity with CI/CD, infrastructure-as-code (Terraform), and modern DevOps practices
Excellent communication skills; ability to explain complex technical concepts to both technical and non-technical audiences
Strong sense of ownership, curiosity, and a passion for innovation and continuous learning
Experience working in a startup or fast-paced environment is highly valued
Experience with containerization (Docker, Kubernetes) is a plus

Responsibilities

Architect, develop, and maintain scalable backend services and APIs, primarily using Python (FastAPI), SQLAlchemy, and AWS infrastructure
Design and implement features for data ingestion, third-party integrations (e.g., Slack, HubSpot, Notion), authentication/authorization, and enterprise-grade security and compliance
Own the full software development lifecycle: requirements gathering, design, implementation, testing, deployment, and monitoring
Collaborate closely with product managers, frontend engineers, and data scientists to deliver innovative solutions
Drive technical excellence through code reviews, mentorship, and best practices in software engineering
Participate in on-call rotations and contribute to operational excellence, reliability, and observability of backend systems
Continuously improve system performance, scalability, and reliability to support rapid user and data growth
Contribute to a culture of innovation, ownership, and customer-centricity

Skills

Python

FastAPI

SQLAlchemy

AWS

Terraform

OAuth2

JWT

CI/CD

DevOps

API design

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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