About UsWe are an AI-native, VC-backed startup building a multimodal Foundation Model with a profound understanding of retail, designed to hyper-personalise every shopper touchpoint. To realise our vision, smaller downstream models must run on the edge on-device.As an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you.What You Will DoDeploy smaller task-specific models built on top of our offline Foundation Model to run on-device during live shopping experiences.Build robust evaluation pipelines that ensure on-device implementations mirror the performance of offline systems.Integrate models with mobile inference backends such as TensorFlow Lite, ONNX Runtime Mobile, MediaPipe or custom native models.Build and manage real-time on-device data stores for low-latency context and lookup.Collaborate with Research Scientists and Research Engineers to ensure model design is edge-aware and device-compatible from the start.Test and validate performance in live, resource-constrained environments.What We Look For2 to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android.Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages.Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools.Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based systems is a plus.A mindset that combines engineering rigour with startup adaptability: you are comfortable solving hard technical challenges quickly and creatively.Nice to HaveWorking knowledge of Python and/or model training frameworks like Pytorch or similarWorking knowledge of JNI on Android and/or C/C++Why Join UsYou’ll be part of a small, high-output team where intensity and focus are the norm.You’ll take ideas from research to live deployment fast and see your work shape real shopper experiences.You’ll own problems end-to-end, from messy prototypes to stable, production-grade systems.You’ll work alongside people who care deeply, move quickly, and hold a high bar for excellence.