Agentic Development Intern

About the Role

The SEI advances software engineering principles and practices, serving as a national resource in software engineering, computer security, and process improvement. This role is within the Cyber Mission Readiness Directorate within CERT, collaborating with software engineers, learning engineers, and cybersecurity experts to build software and automation for cyber training, exercises, and assessments.

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

This is a part-time, fully onsite position based in Pittsburgh, PA.

Key Responsibilities

• Assist in developing agentic AI workflows for curriculum research, generation, and review, with source traceability and human approval.
• Build and maintain GitOps pipelines for linting, testing, packaging, and deploying training content, web applications, and virtual lab environments.
• Research and prototype new approaches to automation using AI and traditional software engineering practices.
• Contribute to core functions including:
• Agentic AI workflow development and evaluation
• CI/CD and GitOps automation
• Infrastructure as code and containerized environments
• Test automation and developer tooling

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%

Requirements & Tech Stack

• Enrolled in a degree-granting program.
• Willingness to travel to various locations to support the SEI’s overall mission, including within the SEI and CMU community.
• Must be eligible to work in the United States without Visa sponsorship.

Qualifications

• Ability to critically think and problem-solve.
• 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 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.