TokenShift is PointFive’s newest product — an endpoint runtime for AI coding agents that gives organizations control, visibility, and efficiency across how agents execute commands and consume models.
As AI agents move from chat interfaces into developer machines, they increasingly need access to shells, filesystems, credentials, developer tools, and local compute. At the same time, enterprises are beginning to run models locally — on laptops, workstations, developer VMs, and managed endpoint fleets — across a wide variety of operating systems and hardware architectures.
This role exists to push that frontier forward.
You’ll research how AI coding agents execute and isolate workloads, design secure sandboxing mechanisms, and build the infrastructure required to deploy and operate local models across heterogeneous endpoint environments. You’ll work across macOS, Windows, Linux, WSL, developer containers, and other runtime environments, figuring out how to provide agents with powerful capabilities without giving them unrestricted access to the machine.
It’s a rare opportunity to work at the intersection of operating systems, endpoint security, AI infrastructure, local inference, and developer tooling — in a product already running inside enterprise engineering environments.