Member of Technical Staff (MTS) Product: Full-Stack Engineering

Role Description

At Voio, we’re redefining how radiologists work. Today, medical imaging is slowed by fragmented tools — one system to view scans, another to dictate, and another to search patient context. We’re building a unified system that connects it all: fast, intelligent, and deeply intuitive.

At Voio, we’re redefining how radiologists work. Today, medical imaging is slowed by fragmented tools — one system to view scans, another to dictate, and another to search patient context. We’re building a unified system that connects it all: fast, intelligent, and deeply intuitive.

Our AI models originated from years of research at UC Berkeley and UCSF, but our mission goes far beyond the lab — we’re now building real-world systems that push the frontier of applied medical AI. Every line of code here helps doctors move faster, see clearer, and focus on care, not clicks.

We’re looking for a Full-Stack Engineer who can bridge elegant interfaces with scalable backend systems. You’ll design, build, and deploy end-to-end features that bring our AI-powered radiology tools to life — from intuitive frontends to robust APIs and data services.

You’ll work closely with design, ML, and clinical teams to deliver fast, reliable, and human-centered user experiences that radiologists can trust in mission-critical environments.

• Build intuitive, high-performance user interfaces that integrate imaging, reporting, and search into one seamless workflow.
• Design and implement backend APIs and data flows to support real-time collaboration and AI inference.
• Develop frontend components using modern frameworks (e.g., React, Type Script) with a focus on usability and responsiveness.
• Collaborate across engineering, ML, and product teams to translate clinical and research needs into production features.
• Own projects end-to-end — from system design to deployment — with an emphasis on performance, reliability, and maintainability.
• Contribute to architectural decisions, technical reviews, and internal tooling that improve developer velocity and code quality.

• 4+ years of professional experience building production web applications.
• Strong proficiency in Python (backend) and Type Script/React (frontend).
• Experience designing and consuming REST or GraphQL APIs.
• Solid understanding of data modeling, authentication, and state management.
• Familiarity with Docker, Kubernetes, and cloud infrastructure (AWS/GCP).
• Ability to operate independently, make sound tradeoffs, and deliver with clarity and precision.

• Experience with real-time collaboration systems (Web Sockets, streaming APIs).
• Knowledge of DICOM, HL7, or healthcare data standards.
• Prior experience integrating AI/ML models into production applications.
• Understanding of data privacy, security, and compliance requirements in healthcare.

We hire for clarity, ownership, and judgment.

• Thinks in systems. Sees beyond individual tasks to how everything connects.
• Executes with precision. Moves quickly without sacrificing long-term quality.
• Owns outcomes. Takes responsibility across design, build, and delivery.
• Builds with purpose. Writes code that improves lives, not just benchmarks.

You’ll work directly with leading engineers, clinicians, and researchers from UC Berkeley and UCSF — building products that didn’t exist before. If you want to shape how AI enters the clinic, and you care about craft as much as impact, this is your team.