About the role We’re looking for a Full Stack Engineer with Go backend experience and strong frontend skills to help build internal tools for annotation workflows, device monitoring, and AI operations. You’ll work across the stack — building APIs, crafting responsive user interfaces, and integrating real-time data and telemetry. Your work will directly impact our annotation teams, AI engineers, and field-deployed systems. You will be part of the AI Systems team , focused on increasing ML tooling capability, ML and data integrations, operational efficiency, automation, and observability across our AI teams and capabilities platform. Responsibilities, Duties and Expectations Build and maintain full stack applications to support annotation tooling capability, ML workflow automation, and global device telemetry Develop backend APIs and services in Go to support frontend applications and data tools Build intuitive and responsive user interfaces using modern web frameworks Collaborate with AI and RFAI teams to surface logs, model state, and sensor metadata in real time Contribute to internal developer tools that support data ingestion, search, versioning, and monitoring Ensure high code quality, maintainability, and documentation across the stack Qualifications, Experience and Skills Proven experience in Go (Golang) backend development Proficiency with modern frontend frameworks (React, Vue, or similar) Experience building and integrating APIs, including WebSocket or streaming endpoints Comfortable working across the stack, from backend services and DBs to UI/UX design Familiarity with structured logging, observability tools, and frontend performance optimisation Bonus: Experience with annotation platforms, real-time dashboards, or developer tooling Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
