Agentic Development Intern

About the Role

You will work as part of the Cyber Mission Readiness Directorate within CERT and will collaborate with a team of software engineers, learning engineers, and cybersecurity experts focused on building the software and automation behind cyber training, exercises, and assessments. You will assist members of the Operational Readiness and Evaluation team in developing agentic AI workflows that help research, generate, and review curriculum, with source traceability and human approval built in. You will build and maintain GitOps pipelines that lint, test, package, and deploy training content, web applications, and virtual lab environments. You will research and prototype new approaches to automation, leveraging both AI and traditional software engineering practices to deliver reliable, repeatable systems.

This internship begins in Fall 2026, with the option to continue through the Spring 2027 semester.

Key Responsibilities

• Agentic AI workflow development and evaluation
• CI/CD and GitOps automation
• Infrastructure as code and containerized environments
• Test automation and developer tooling

Requirements & Tech Stack

• Enrolled in a degree granting program.
• Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community.
• Must be eligible to work in the United States without Visa sponsorship.
• 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 (e.g., Docker)
• Ability to collaborate internally and externally with professional engineers, instructional designers, and subject matter experts
• Willingness to learn new technologies with cross-functional teams
• Must be organized, detail-oriented, and have the capacity to clearly document and communicate any findings

Desired Experience

• 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 also come from education-driven experiences or extracurriculars.

Job Function Breakdown

• 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%