The ML Systems Engineer at Arago will play a pivotal role in optimizing AI model execution on custom accelerators. Key responsibilities include analyzing AI workloads to identify bottlenecks, developing optimized kernels and execution strategies, and designing efficient model mappings across multiple devices. The role requires strong experience in ML inference and GPU programming, along with proficiency in C++ and Python.