Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
About the Role:
Location: Full-time (Remote)
Roles and Responsibilities
As a Full-Stack Software Engineer, you’ll be a core part of our engineering team, building the platform that powers our AI-driven surgical assistant system. You’ll work on:
Developing intuitive, high-performance UIs in React that visualize and interact with real-time video and data streams.
Collaborating on backend systems that manage GPU-intensive AI pipelines, real-time processing, and system orchestration.
Implementing end-to-end features—from frontend UX to backend APIs and infrastructure integration.
Working closely with AI, robotics, and systems engineers to build a seamless experience under tight precision and performance constraints.
Building reliable and scalable software that runs in demanding environments like operating rooms.
Strong experience in modern frontend frameworks (preferably React.js) with a focus on performance and usability.
Proficiency in backend development (any language, e.g. Node.js, Python, Go, etc.) and experience designing robust APIs.
Familiarity with real-time systems, video streaming, or similar performance-critical applications.
Comfort with working across the stack and taking ownership of product features from idea to deployment.
Startup mentality: self-driven, adaptable, and excited about tackling big challenges with a small, high-trust team.
Bonus: Exposure to Docker, container orchestration, WebRTC, or GPU/edge computing systems.
