Intern - AI & Infrastructure Engineer - Spring 2027

Commonwealth Fusion Systems•Devens, MA

10d•$25 - $38•Onsite

About The Position

Commonwealth Fusion Systems is seeking an AI & Infrastructure Engineering Intern to contribute to internal AI tools and support employees using them. The internship is 26 weeks and involves 40–50 hours per week, with a set hourly rate based on the intern’s year in school. An onsite opportunity is available in Devens, Massachusetts; interns working onsite are responsible for their own transportation and housing. Project assignments and required technical skills vary with team needs. Applicants must be currently enrolled college students, from bachelor’s through PhD programs, and authorized to work in the United States for any employer. The intern will provide first-line technical support for employees using AI tools, help them build and version applications, and encourage good repository and file-management practices. The role also supports onboarding and access provisioning for AI tools, develops and tests internal AI applications, creates training and documentation from recurring user questions, and works with teams across the business to understand their current and desired AI use cases and help interested employees become self-sufficient AI developers. The role may involve occasional required travel, nights, weekends, or on-call work. It requires extended periods of typing, standing, or sitting, and a commitment to safety around potential industrial hazards such as heat, cold, noise, fumes, strong magnets, lead, high voltage, and cryogenics. The position requires compliance with U.S. export control laws.

Requirements

Currently enrolled in a college program, from bachelor’s degree through PhD level.
Authorized to work in the United States for any employer.
Python backend development experience.
Familiarity with 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.
Familiarity with agent frameworks and observability or evaluation tooling.
Understanding of RAG fundamentals, including embeddings and vector stores.
Docker and Linux basics.
Understanding of authentication concepts, including SSO and role-based access.
Strong communication skills, including the ability to work with non-technical teams.
Security and data-handling awareness, including around 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 in environments that may involve heat, cold, noise, fumes, strong magnets, lead, high voltage, and cryogenics.

Responsibilities

Provide first-line support to employees using AI tools.
Help users build and version applications and follow repository and file-management best practices.
Assist users with technical issues in AI implementation.
Process AI tool license requests through the Service Catalog.
Set up GitHub and AI tool access.
Guide teams in 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 business teams to document current AI usage, identify desired use cases and bespoke problems, and coach interested individuals toward becoming self-sufficient AI developers.