Software Engineering Intern (Summer 2027)

CTGT • San Francisco, CA

2d • Onsite

About The Position

CTGT is developing a deterministic governance layer for AI, enabling organizations to deploy AI workflows with confidence. Born out of Stanford University research, CTGT provides a control plane that makes AI models more reliable, controllable, and performant. Their Policy Engine has demonstrated superior performance and lower compute cost compared to frontier models. The company's mission is to bring models to the level of performance and accountability required by the Fortune 500, bridging the gap between LLM capabilities and domain-specific requirements to unlock the true potential of generative AI.

This internship is a significant opportunity where interns will own a meaningful piece of work end-to-end, ship it to a real system, and see it used. Interns will work closely with engineers building the Policy Engine and platform, expected to form opinions, ask hard questions, and drive problems forward. The ideal candidate has strong fundamentals, writes clean code, reasons carefully about correctness, and seeks to understand the entire system.

Requirements

• Pursuing a Bachelor's degree in Computer Science or a related technical field
• Strong programming fundamentals and fluency in at least one general purpose language (Python and JavaScript are central to our stack)
• Comfortable with Git and basic cloud workflows (AWS or GCP)
• Able to explain technical ideas clearly to people with different backgrounds
• Curious, self-directed, and able to make progress without constant scaffolding

Responsibilities

• Build and ship features across the stack, from backend services to product surfaces
• Write code that holds up under real load, with the correctness and clarity our systems require
• Work closely with senior engineers and take ownership of a project from design through delivery
• Dig into ambiguous problems and bring back a clear answer

Benefits

• Venture-backed company with institutional investors including Google's Gradient Ventures, General Catalyst, and Y Combinator
• Work directly on core systems that determine how models perform in the wild
• Work ships into real, high-stakes environments where governance, auditability, and performance are non-negotiable
• High degree of trust, expected to form strong technical opinions and execute on them
• US visa sponsorship

What This Job Offers

• Job Type: Full-time
• Career Level: Intern