Software Engineering Intern (Summer 2027)

CTGT; San Francisco (CA); On-site; USD 30,000 - 50,000; Full time

Benefits offered by this job

Venture-backed company

Real impact on core AI systems

Autonomy and trust in work

Job summary

CTGT in San Francisco is seeking a full-time software engineering intern. This role requires building and shipping features across the tech stack and understanding complex systems. Ideal candidates are pursuing a Bachelor's in Computer Science, are fluent in programming (especially Python/JavaScript), and enjoy solving ambiguous problems.

The internship is 10 to 12 weeks long with work starting in May/June 2027, and it provides significant responsibilities including autonomy and impact on AI applications.

Qualifications

• Pursuing a Bachelor's degree in Computer Science or related technical field.
• Strong programming fundamentals and fluency in one general purpose language.
• Ability to explain technical ideas clearly to diverse audiences.

Responsibilities

• Build and ship features across the stack.
• Write code that is correct and clear for real load.
• Work closely with senior engineers and own a project.
• Dig into ambiguous problems and clarify them.

Skills

Clean code writing

Programming in Python

Programming in JavaScript

Using Git

Cloud workflows (AWS or GCP)

Technical communication

Education

Bachelor's degree in Computer Science or related field

Job description

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 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 generative AI to solve the most pressing problems in our world today.

The Role

This is not a side project internship. You will own a meaningful piece of work end to end, ship it to a real system, and see it used. You will sit close to the engineers building the Policy Engine and the platform around it, and you will be expected to form opinions, ask hard questions, and take problems further than they were handed to you.

We are looking for someone whose strength is the fundamentals: someone who writes clean code, reasons carefully about correctness, and wants to understand the whole system rather than just the piece in front of them.

What You Will Do

• 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

Who You Are

• 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

Logistics

• Full-time, in person in San Francisco

• 10 to 12 weeks between May/June and August/September 2027

• We sponsor US visas

What We Offer

• World-Class Backing: You will join a venture-backed company with institutional investors including Google's Gradient Ventures, General Catalyst, and Y Combinator.

• Real Impact: You will work directly on the core systems that determine how models perform in the wild. Your work ships into real, high-stakes environments where governance, auditability, and performance are non-negotiable.

• Autonomy & Trust: We operate with a high degree of trust. You are expected to form strong technical opinions and execute on them.