About the role
About CTGT & The Mission
Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence.
Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time. When benchmarked on HaluEval, the CTGT Policy Engine (paired with GPT-120B OSS) outperformed several frontier models with 80% lower compute cost.
While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice.
Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today.
The Role
CTGT is building governance infrastructure for frontier intelligence. Your job is to make sure it deploys effortlessly, runs reliably at scale, is easy to reason about under pressure, and delightful to build on.
You will own the systems that connect our Policy Engine and core model work to production environments. That includes how services are structured, how they are deployed, how they are observed in production, and how they behave when things go wrong.
This role sits at the boundary where most systems break. Between backend logic and infrastructure, between experimental systems and production guarantees. You are expected to operate comfortably in that space and improve it over time.
