Startups · AI

Senior Software Engineer

CTGT · San Francisco · On-site

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About CTGT

Enterprise AI for where accuracy, speed, and compliance matter most. Backed by Y Combinator.

About the role

CTGT's mission is to deploy high-performance model governance at enterprise scale. This places rigorous requirements on our system. Our Policy Engine must produce decisions that are correct, fast, and reliably auditable, you will ensure it stays that way as load grows and the platform expands into new environments.

What they're looking for

  • You have built non-trivial systems and can speak honestly about what aged well and what did not
  • You understand distributed systems tradeoffs well enough to make the right call for a given problem
  • You are comfortable on both sides of the stack and choose where to work based on the problem
  • You have strong opinions about software design and can defend them without being precious about them
More about this role

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 frontier models (Gemini 3 Pro Preview, Claude 4.5 Opus and 4.5 Sonnet) at drastically 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...

Read the full posting on CTGT's site ↗

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