Backend Engineer at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Bachelor’s degree or higher in Computer Science/Engineering, or 3+ years of relevant industry experience
Proven experience in backend development, with proficiency in one or more programming languages such as Python, Java, or Go
Strong understanding of distributed systems, microservices architecture, and cloud computing platforms (e.g., AWS, GCP)
Experience with authentication/authorization protocols and mechanisms (e.g., OAuth, JWT)
Familiarity with relational and non-relational databases, with expertise in data modeling and database management
Excellent problem-solving skills with a pragmatic and results-driven 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

Responsibilities

Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that power our platform
Take ownership of critical components of our system, from conception to deployment and maintenance
Practice quality assurance best practices including unit and integration testing
Implement robust authentication and authorization mechanisms to ensure data security and privacy
Optimize data processing pipelines and storage solutions
Integrate third-party services and data sources seamlessly into our platform
Monitor, troubleshoot, and resolve issues related to infrastructure and operations to ensure maximum uptime and reliability
Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems

Skills

APIs

Authentication

Authorization

Account Management

Third-party Integrations

Data Processing

Database Management

Unit Testing

Integration Testing

Monitoring

Troubleshooting

Scalability

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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