ironquill.tech/board

$ cat jobs/ai-deploy-engineer-sunrise-ebc07706dcb9.json

AI Deploy Engineer

Sunrise·Worldwide·Ljubljana·mid
Apply on ashby → Get AI match score →
OUR MISSION: At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. OUR VISION: We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future. THE ROLE: Sunrise Robotics builds automation that runs in real factories, on real production lines. As an AI Delivery Engineer, you are the bridge between development and deployment - the person who takes AI vision and robotics applications and makes them work in production, 24/7, on real hardware at customer sites. You will build and ship applications powered by our internal stack, monitor their performance in the field, and feed what you learn back into improving the platform. Your work has a direct line to deployed robot cells - and your experience in the field will shape how our stack evolves. WHAT YOU'LL DO: - Build and deploy end-to-end AI vision and robotics applications to production on real-world and simulated robotic systems. - Own technical delivery from application design through to deployment and iterative improvement. - Monitor, diagnose, and address issues in deployed AI and robotics applications. - Configure logging, observability, and alerting systems to track application health and behaviour in the field. - Monitor and re-train algorithms in production; perform A/B test