Brain CoAI Platform Engineer Co-Op Intern, Winter 2027
Brain Co is hiring an AI Platform Engineer Co-Op Intern, Winter 2027 for a remote role open to applicants in United States. Level rates it ; you can apply on Level.
AI in this role
Build and improve cloud infrastructure, Kubernetes, and distributed systems supporting AI workloads and production applications as a Co-Op Intern.
Rebuild how the world works, to make institutions work better for the people they serve.
About Brain Co.Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
Why NowBrain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.
You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.
About the Co-Op
As an AI Platform Engineer Co-Op Intern, you’ll work alongside experienced platform and infrastructure engineers to help build the systems that power Brain Co.’s AI applications in production.
This internship is designed for current undergraduate students (junior or senior ) who want hands-on experience contributing to real production systems, while receiving mentorship through code reviews, design discussions, and hands-on collaboration with the team. You’ll gain hands-on experience with cloud infrastructure, Kubernetes, distributed systems, observability, and the infrastructure behind modern AI workloads.
What You’ll Work On
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.
See the infrastructure you build support real applications used by customers at scale.
You Might Be a Great Fit If You…
Are a current undergraduate student, specifically a junior or senior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Have strong software engineering fundamentals and experience programming 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.
Are familiar with or excited to learn technologies like Kubernetes, Terraform, Docker, AWS/GCP/Azure, and observability tools.
Enjoy understanding how systems work under the hood and solving problems involving performance, reliability, and scale.
Are curious, proactive, and excited to learn quickly in a fast-paced engineering environment.
Enjoy taking ownership of technical problems while learning from experienced engineers.
What You’ll Gain
Co-Op Details & Benefits
Winter / Spring Co-Op: January 11, 2027 - April 30, 2027
Competitive co-op compensation
Hands-on mentorship from experienced AI engineers and researchers
Opportunity to work on real production systems used globally
Potential return-offer consideration for future internships or full-time roles
Daily lunches (if onsite)
How we rate this
AI Platform Engineer Co-Op Intern, Winter 2027 at Brain Co rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Infrastructure, Distributed Systems, Ci Cd, Observability, and Networking. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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