Backend Engineer, Medical Imaging AI Infrastructure

Voio; Berkeley (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Voio is redefining radiology work by unifying imaging, dictation, and patient context into a single fast platform. We’re building backend systems that power AI-driven workflows for real-world clinical use.

As a Backend Engineer, you’ll design APIs, data pipelines, and services that connect PACS, RIS, and EMR tools while collaborating with ML and clinical teams to deploy scalable solutions in a healthcare setting.

Qualifications

• 4+ years of backend or distributed systems experience.
• Proficiency in Python, Go, or similar languages.
• Strong grounding in systems design, APIs, and data architecture.
• Experience with cloud infrastructure (AWS/GCP) and containerized environments (Docker, Kubernetes).
• Comfort working in fast, high-ownership environments where direction is minimal and impact is high.
• Familiarity with DICOM, HL7, or FHIR standards.
• Experience building or scaling production ML systems.
• Knowledge of data privacy, security, and compliance in healthcare setting.

Responsibilities

• Design, build, and maintain backend services that power real-time medical AI applications.
• Develop robust APIs that connect radiology workflows — images, dictation, search, and structured reports — into one platform.
• Collaborate with ML, infrastructure, and clinical teams to bring multimodal models into production.
• Implement scalable data pipelines for imaging and clinical data.
• Drive architectural decisions that balance speed, safety, and long-term maintainability.
• Contribute to system design discussions and mentor teammates through code reviews and best practices.

Skills

Backend engineering

Distributed systems

Python

Go

APIs design

Data architecture

Cloud infrastructure

Docker

Kubernetes

High ownership

Education

Bachelor's degree in a technical field

Tools

Docker

Kubernetes

AWS

GCP

Job description

Voio is redefining radiology work by unifying imaging, dictation, and patient context into a single fast platform. We’re building backend systems that power AI-driven workflows for real-world clinical use.

As a Backend Engineer, you’ll design APIs, data pipelines, and services that connect PACS, RIS, and EMR tools while collaborating with ML and clinical teams to deploy scalable solutions in a healthcare setting.