Senior Software Engineer - Healthcare AI (Remote)

radai; United States; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, Vision, Life ins.

HSA with employer match

401(k) retirement plan

11 paid company holidays + flexible PT

Job summary

radai is building a care coordination and follow-up product used by radiology teams. You will contribute to customer-facing web apps, Python-based backend services, ML pipeline services, and third-party integrations in a HIPAA-regulated environment.

You will work with full-stack engineers, ML engineers, product leaders, data scientists, and customer success teams to deliver reliable, secure software that improves clinical workflows and reduces missed findings.

Qualifications

• 5+ years of engineering experience in single- and multi-tenant environments.
• Strong Python and FastAPI proficiency.
• Experience with relational and document-based databases.
• Solid understanding of modern web architecture and patterns.
• Hands-on unit and integration testing; strong Git skills.
• Experience diagnosing and addressing performance and optimization problems.

Responsibilities

• Develop large-scale progressive and single-page web applications that streamline user workflows.
• Build and maintain Python and FastAPI backend services, including REST APIs and ML pipeline services.
• Ship new features that support a rapidly growing customer base of healthcare systems and radiology practices.
• Write code that meets internal standards for security, style, and maintainability in a high-scale HIPAA web environment.
• Collaborate with product management, ML, data science, and customer success stakeholders to iterate on features and resolve defects.
• Advocate for product quality, security, and performance improvements through code reviews, design collaboration, and engineering best practices.

Skills

Python

FastAPI

Distributed systems

Unit testing

Git

Tools

PostgreSQL

Auth0

Amplitude

FHIR

Job description

radai is building a care coordination and follow-up product used by radiology teams. You will contribute to customer-facing web apps, Python-based backend services, ML pipeline services, and third-party integrations in a HIPAA-regulated environment.

You will work with full-stack engineers, ML engineers, product leaders, data scientists, and customer success teams to deliver reliable, secure software that improves clinical workflows and reduces missed findings.