Agentic Development Intern

Carnegie Mellon University•Pittsburgh, PA

2d•Onsite

About The Position

The Agentic Development Intern will work within the Cyber Mission Readiness Directorate of CERT, collaborating with software engineers, learning engineers, and cybersecurity experts to 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 for researching, generating, and reviewing 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, as well as researching and prototyping automation approaches using AI and traditional software engineering practices. The internship begins in Fall 2026, with the option to continue through Spring 2027. It is a part-time, fully onsite position based in Pittsburgh, Pennsylvania. The work is divided among agentic AI workflow development and evaluation (35%), CI/CD and GitOps automation (30%), infrastructure as code and containerized environments (20%), and tests, documentation, and team demonstrations (15%).

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 CMU community.
Be subject to a background check and eligible to work in the United States without visa sponsorship.
Ability to think critically and solve problems.
Familiarity with a programming or scripting language such as Python, JavaScript/TypeScript, or Bash.
Familiarity with Git and collaborative workflows such as branching and merge requests.
Basic knowledge of Linux, the command line, and containers such as Docker.
Ability to collaborate with professional engineers, instructional designers, and subject matter experts.
Willingness to learn new technologies with cross-functional teams.
Organized, 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.
Develop and maintain CI/CD pipelines and GitOps automation.
Develop infrastructure as code and containerized environments for training and labs.
Write tests and documentation, and demonstrate solutions to the team.
Assist in developing 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.