Applied AI Engineer

We are building the unmetered intelligence workforce: autonomous AI agents that do real, end-to-end work for enterprises instead of just answering questions. Since founding in 2022 we have gone from research to agents running production workloads inside real companies, on secure, isolated infrastructure, backed by SRI International, DCVC, and Candou Ventures. This is a small, senior team moving at startup speed on one of the most consequential problems in technology, and the Applied AI Engineer sits at the sharpest edge of it: your work lands in front of real customers in weeks, not quarters, and directly shapes how the world's most demanding enterprises adopt agentic AI. If you want the shortest possible line between what you build and the outcomes it creates, this is a rare seat.

When we close a large enterprise deal, the contract is the start of the hard part, not the end. The customer has bought an outcome, an "unmetered intelligence workforce" doing real work inside their business, and someone has to make that outcome real, fast, inside their systems, their security constraints, and their messy data. That someone is the Applied AI Engineer. We attach an Applied AI Engineer to every large enterprise account. They embed with the customer, build the first high-value agentic workflows on our platform, and own technical success from kickoff through go-live and expansion. The Applied AI Engineer is how a signed contract becomes a renewed and expanded one.

Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their operations and data, and stand up the first production agent workflows on NinjaTech in weeks, not quarters.

Build custom, tailored solutions. Wire our platform into the customer's real systems (their data sources, identity, ticketing, CRMs, internal APIs) and build the bespoke automations, prompts, tools, and guardrails that make agents useful for their jobs-to-be-done.