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About the Role
As an AI Security Engineer, you will build the tooling and automation that makes secure software the default at Brain Co. You will work alongside security, platform, and infrastructure engineers, focusing on building internal tools and automation that engineers across the company use, such as linters, reusable workflows, bots, CLIs, and dashboards. You will leverage AI and LLMs to automate tasks previously requiring manual review, add automated guardrails to CI/CD pipelines, and develop automation to detect and fix issues in cloud and infrastructure configurations.
Responsibilities
- Build internal tools and automation that engineers across the company actually use — linters, reusable workflows, bots, CLIs, dashboards.
- Use AI and LLMs to automate work that previously required manual review: triaging findings, generating fixes, summarizing risk, writing remediation guidance.
- Add automated guardrails to CI/CD pipelines so problems get caught before they ship, instead of after.
- Write the automation that detects issues across cloud and infrastructure config, and — where possible — fixes them without a human in the loop.
- Turn noisy machine output into clear, actionable next steps for the engineers who have to act on it.
- Improve docs and developer experience so the safe path is also the fastest path.
- Participate in design reviews, code reviews, and architecture discussions as you ramp on the domain.
Requirements
- Expect to complete a bachelor's or master's degree in Computer Science, Engineering, or a related technical field in Spring 2027.
- Have strong software engineering fundamentals, shown through internships, research, coursework, or personal projects.
- Write reliable code in Python, Go, Java, C++, Bash, or similar.
- Have shipped something someone else used — a tool, a script, a service, a side project.
- Have hands-on experience building with LLMs, or are eager to: prompting, agents, evals, or AI-assisted developer tooling.
- Have a working mental model of how code gets to production — version control, CI/CD, containers, cloud — even if you've never owned it professionally.
- Enjoy thinking about how systems fail and what could go wrong, and would rather prevent a problem than be paged for it.
- Are curious, proactive, and learn fast in a fast-moving environment.
- Want real ownership while learning from experienced engineers.
Skills
- Python
- Go
- Java
- C++
- Bash
- LLMs
- Prompting
- Agents
- Evals
- AI-assisted developer tooling
- Version control
- CI/CD
- Containers
- Cloud
- Kubernetes
- Docker
- Terraform
- GitHub Actions
- AWS
- GCP
- Azure
- Software supply chain security
Work Type
- Full-time
Experience Level
- Entry-level
Education Level
- Bachelor's degree
- Master's degree
Benefits
- Competitive full-time compensation and benefits.
- Support and feedback from experienced security and infrastructure engineers.
- Work on real production systems used globally.
- Meaningful ownership from day one, with room to grow alongside the team.
- Daily lunches if onsite.
About the Company
- 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.
- Brain 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.