Agentic Development Intern

Carnegie Mellon University • Pittsburgh, PA

2d • Onsite

About The Position

The Agentic Development Intern will work as part of the Cyber Mission Readiness Directorate within CERT, collaborating with software engineers, learning engineers, and cybersecurity experts who build software and automation for cyber training, exercises, and assessments. The intern will assist the Operational Readiness and Evaluation team in developing agentic AI workflows to research, generate, and review curriculum, with source traceability and human approval built in. The role also involves building and maintaining GitOps pipelines to lint, test, package, and deploy training content, web applications, and virtual lab environments, and researching and prototyping automation approaches using AI and traditional software engineering practices to create reliable, repeatable systems.

The internship begins in Fall 2026, with an option to continue through Spring 2027. It is a part-time, fully onsite position based in Carnegie Mellon University's Pittsburgh office. The work includes agentic AI workflow development and evaluation, CI/CD and GitOps automation, infrastructure as code and containerized environments, and test automation and developer tooling.

Requirements

• Be enrolled in a degree-granting program.
• Be willing to travel to various locations to support the SEI's mission, including within the SEI and Carnegie Mellon community.
• Be eligible to work in the United States without visa sponsorship and undergo a background check.
• Demonstrate critical thinking and problem-solving ability.
• Have familiarity with a programming or scripting language, such as Python, JavaScript/TypeScript, or Bash.
• Have familiarity with Git and collaborative workflows, such as branching and merge requests.
• Have basic knowledge of Linux, the command line, and containers such as Docker.
• Be able to collaborate with professional engineers, instructional designers, and subject matter experts, internally and externally.
• Be willing to learn new technologies with cross-functional teams.
• Be organized and detail-oriented, and able to clearly document and communicate findings.

Nice To Haves

• Experience building with large language model APIs or agent frameworks, including tool use or Model Context Protocol (MCP).
• Experience with CI/CD platforms such as GitLab CI or GitHub Actions.
• Experience with infrastructure as code or GitOps tools such as Terraform, Packer, Ansible, or Argo CD.
• Experience writing automated unit, integration, or end-to-end tests. These experiences may come from education-driven experiences or extracurricular activities.

Responsibilities

• Design, build, and evaluate agentic AI workflows with human review checkpoints (35%).
• Develop and maintain CI/CD pipelines and GitOps automation (30%).
• Develop infrastructure as code and containerized environments for training and labs (20%).
• Write tests and documentation, and demonstrate solutions to the team (15%).
• Assist in developing AI workflows to research, generate, and review curriculum with source traceability and human approval.
• Build and maintain pipelines that lint, test, package, and deploy training content, web applications, and virtual lab environments.
• Research and prototype automation approaches using AI and traditional software engineering practices.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed