AI Platform Engineer Co-Op Intern, Winter 2027

Brain Co.•San Francisco, CA

20d

About The Position

Brain Co. builds AI-native operating systems for large, regulated institutions. Its industry-specific systems use agents to advance real workflows, with Atlas as the proprietary platform designed to keep customers in control, secure by design, and independent of any single model. The company is entering a phase of national-scale production deployments across government, insurance, health, and financial services. The AI Platform Engineer Co-Op Intern works alongside platform and infrastructure engineers to help build systems that power Brain Co.’s production AI applications. The co-op is designed for current undergraduate juniors or seniors and offers hands-on experience contributing to production systems, with mentorship through code reviews, design discussions, and collaboration. The work involves cloud infrastructure, Kubernetes, distributed systems, observability, and infrastructure for modern AI workloads. The co-op runs from January 11, 2027, through April 30, 2027. Compensation is described as competitive. The role offers mentorship, exposure to production systems used globally, and potential consideration for future internships or full-time roles. Daily lunches are provided if onsite.

Requirements

Be a current undergraduate junior or senior pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field.
Have strong software engineering fundamentals and programming experience through coursework, internships, research, or personal projects.
Have experience with a programming language such as Python, Go, Java, C++, or similar.
Have exposure to or an interest in cloud infrastructure, distributed systems, operating systems, networking, or databases.
Be familiar with or excited to learn Kubernetes, Terraform, Docker, AWS/GCP/Azure, and observability tools.
Enjoy understanding systems under the hood and solving performance, reliability, and scale problems.
Be curious, proactive, and excited to learn quickly in a fast-paced engineering environment.
Enjoy taking ownership of technical problems while learning from experienced engineers.

Responsibilities

Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments.
Contribute to tooling and automation that makes infrastructure easier and safer for engineers to deploy and operate.
Work with cloud infrastructure, networking, CI/CD, and containerized systems.
Help build and improve metrics, logging, tracing, dashboards, and monitoring for production services.
Investigate performance and reliability issues across distributed systems and AI workloads.
Support infrastructure for AI inference, data pipelines, and large-scale backend services.
Participate in code reviews, architecture discussions, and technical problem-solving alongside experienced engineers.
Build infrastructure supporting real applications used by customers at scale.