Backend Engineer - Enterprise Applications at Rad AI

Seattle, Washington, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise SoftwareIndustries

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)
Experience with data encryption at rest and in transit, including knowledge of encryption algorithms and security best practices
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

Responsibilities

Collaborate with cross-functional teams to design and develop scalable and reliable backend services and APIs that support our enterprise customers
Take ownership of critical enterprise components of our system, from conception to deployment and maintenance
Build features and functionality to streamline the management and monitoring of our platform by enterprise IT administrators
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 to support enterprise-level data volumes and requirements
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 for our enterprise customers
Continuously evaluate and implement best practices, tools, and technologies to enhance the scalability, reliability, and maintainability of our systems

Skills

Key technologies and capabilities for this role

APIsBackend ServicesUnit TestingIntegration TestingAuthenticationAuthorizationData PipelinesStorage SolutionsThird-Party IntegrationMonitoringTroubleshootingInfrastructure

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this Backend Engineer role?

This information is not specified in the job description.

What skills are required for this Backend Engineer position?

Required skills include proficiency in backend development with languages like Python, Java, or Go; strong understanding of distributed systems, microservices, and cloud platforms like AWS or GCP; experience with authentication protocols such as OAuth and JWT; data encryption practices; and expertise in relational and non-relational databases.

What is the company culture like at Read AI?

Read AI fosters a diverse and inclusive work environment where all voices are valued, and encourages individuals from all backgrounds to apply. As a fast-growing startup, they emphasize innovation, impact, and collaboration with cross-functional teams.

What makes a strong candidate for this role?

A strong candidate will have a Bachelor’s degree in Computer Science/Engineering or 3+ years of relevant experience, proven backend development skills, expertise in distributed systems and security, plus excellent problem-solving abilities with a pragmatic approach.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free