Intern - AI & Infrastructure Engineer - Spring 2027

Commonwealth Fusion Systems•Devens, MA

9d•Onsite

About The Position

Commonwealth Fusion Systems is hiring an AI & Infrastructure Engineering Intern for a 26-week internship. Interns work 40–50 hours per week and receive a set hourly salary based on their year in school. The opportunity is on site in Devens, Massachusetts; interns working on site are responsible for their own transportation and housing. Specific project assignments and required technical skills vary based on team needs. The program is open to currently enrolled college students at all levels, from bachelor’s degree through PhD. Interns must be authorized to work in the United States for any employer. The intern will support employees using AI tools, assist with AI tooling onboarding, and develop and maintain internal AI applications. The role also involves working with teams across the business to document current AI usage, identify potential use cases and bespoke problems, and coach interested employees toward becoming self-sufficient AI developers. The position requires communication with non-technical teams and awareness of security and data handling. Interns must be willing to travel or work occasional required nights, weekends, or on-call, and must be dedicated to safety in an industrial environment. The role requires compliance with U.S. Export Control Laws; any employment offer is contingent on that compliance.

Requirements

Currently enrolled in college; opportunities are available to students from bachelor’s degree through PhD level.
Must be authorized to work in the United States for any employer.
Python backend development.
Git/GitHub workflows, including branching, pull requests, and code review.
Experience building with AI coding tools, including configuring project rules, skills, or custom agents.
Experience working with LLM APIs, including tool use, structured outputs, and prompt and context management.
Experience building or deploying an MCP server.
Knowledge of agent frameworks and observability or evaluation tooling.
Knowledge of RAG fundamentals, including embeddings and vector stores.
Docker and Linux basics.
Knowledge of authentication concepts, including SSO and role-based access.
Strong communication skills, including the ability to meet with non-technical teams.
Security and data-handling awareness, including awareness of SSO, access provisioning, and internal data.
Willingness to travel or work required nights, weekends, or on-call occasionally.
Ability to perform activities such as typing, standing, or sitting for extended periods.
Dedication to safety and mitigating industrial hazards, which may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics.
Must comply with U.S. laws concerning export-controlled or protected technologies or information.

Responsibilities

Serve as first-line support for employees using AI tools, helping them build and version applications, follow repository and file-management practices, and resolve technical AI implementation issues.
Handle AI tooling onboarding, including processing license requests through the Service Catalog and setting up GitHub and AI tool access.
Guide teams through creating and publishing marketplace plugins.
Develop and maintain internal AI applications by implementing scoped features and writing automated tests.
Turn recurring user questions into training content and company documentation.
Meet with teams across the business to document current AI usage, identify aspirational use cases and bespoke problems, and coach interested individuals toward becoming self-sufficient AI developers.