Frontend Software Engineer

About the Role

This role exists at an early-stage medical AI company building a surgical copilot that helps doctors make better calls in the operating room by pairing a real-time device with a growing AI layer. Success in the first year looks like a library of interface patterns other engineers build on, plus at least one shipped visualization tool that surgical and research teams use daily. It's a strong move for someone who wants outsized ownership early and a direct line to the people building the underlying AI.

What You'll Own

• Design and ship user facing interfaces across the platform, from device screens used inside the operating room to internal tools for the engineering and research teams.

• Build visualization tools that turn surgical video, medical imaging, and model output into something a clinician or researcher can act on quickly.

• Establish reusable components and front end patterns that raise the bar for how the rest of the team builds UI.

• Connect front end applications to APIs and real time data streams coming off edge devices in the field.

• Raise the reliability and responsiveness bar on applications handling dense, high stakes data.

• Contribute to a regulatory grade development process, including documentation and traceability standards expected of medical software.
  

What We're Looking For

• Bachelor's degree in computer science, software engineering, or equivalent demonstrated experience.

• 2+ years building front end software applications professionally, through internships, or through significant personal projects.

• Proficiency in JavaScript or TypeScript with a modern framework such as React, Vue, or Angular.

• Solid grasp of component based architecture, state management, and responsive UI development.

• Experience integrating front end applications with APIs and backend services.

• Professional experience with Python or Python based backend systems.

• A track record of having tackled a genuinely difficult technical problem in a high performing environment, not just feature work inside an established system.

• Comfortable with Git and collaborative development workflows.

• Strong communication skills across technical disciplines, and comfort in a fast moving, evolving environment.

Nice to Have

• Experience with real time data, video, or scientific visualization, including WebGL or Three.js. Given the product's core value is turning live imaging and model output into something a surgeon can act on, this is now weighted heavily even though it stays in the nice to have bucket.

• Familiarity with desktop frameworks such as Electron, Tauri, or Qt.

• Exposure to medical devices, healthcare software, or other regulated software environments.

Tools and Stack

• JavaScript or TypeScript, React or a comparable modern framework, REST APIs, Python, exposure to visualization libraries a plus.

Success Indicators for the First 3–6 Months

Within the first 3 to 6 months, you will be expected to:

• Ship reusable UI components and establish front end patterns that other engineers build on.

• Deliver at least one interface for visualizing complex surgical or imaging data, built with real user feedback from the team.

• Build working fluency across the platform's API and real time data integrations with edge devices.

• Contribute meaningfully to code reviews and testing practices, and begin supporting regulatory grade documentation and traceability work.

• Establish strong working relationships with the software, computer vision, machine learning, modeling, and design teammates you collaborate with day to day.

Compensation & Logistics

• Location: Remote LATAM

• Working hours: Overlap with U.S. business hours

• Compensation: $50,000-$60,000 usd annually

• Equity: Competitive equity package

• Benefits: Unlimited PTO

  Company Overview
  Our client is an early stage medical AI company building a surgical copilot that combines computer vision, deep learning, and physics based modeling to help surgeons make better decisions in the operating room. The team is a tight knit group of engineers, scientists, and surgeons working at the frontier of surgical AI, offering significant ownership and direct exposure to the full product development process from an early stage in a career.
  

Job description created by , a nearshore staffing agency.