Context Engineering Intern

What You'll Do

Join MasterControl's Context Engineering team and build real product features using AI development tools (Claude Code, Codex, OpenCode) from day one. The unique opportunity: Most internships have you working in isolation. Here, what you learn directly translates into improving the developer experience across the organization. You'll use GenAI tools to build features faster, then help optimize those same tools and practices for 150+ engineers. Your insights as a new user of these tools will be invaluable in refining how we work.

You'll contribute to two main projects:

Primary: MissionControl — our open-source agent work-management and monitoring desktop app. MissionControl gives teams visibility into and control over their AI agent work: work items, agents, sessions, and git work trees, with review gates and observability built in.

You'll work across the whole product:

• Core app: React/TypeScript web UI and server — work item management, agent session observability, work tree workflows, and review gates
• MCP server and tooling: the Model Context Protocol surface used to drive and observe agent work
• Rust launcher: self-upgrading per-platform launcher with supply-chain hardening and mandatory checksum verification
• Website: the Astro marketing site

Secondary: AI-tool usage analytics— build systems to track and improve how engineers use AI tools across the company, including data collection servers, analytics dashboards, and cloud infrastructure on Kubernetes.

Key Responsibilities

• Build full-stack features for MissionControl: React/TypeScript web UI, server, and MCP tools
• Contribute to the Rust self-upgrading launcher and its supply-chain hardening
• Write comprehensive tests (unit, integration, end-to-end) using Vi test and Playwright
• Create data pipelines and work with PostgreSQL databases handling millions of records
• Deploy services to Kubernetes and set up CI/CD pipelines with GitHub Actions
• Use AI coding assistants (Claude Code, Codex, OpenCode) for rapid development, test generation, and code reviews

Tech Stack

Languages: TypeScript/JavaScript, Rust, and whatever languages are best suited to the product outcomes we need

Frontend: React, Material-UI, Astro (website), Vi test (testing), Playwright (end-to-end testing)

Backend & tooling: Node.js, MCP (Model Context Protocol), Jira/Atlassian APIs, PostgreSQL

Infrastructure: Kubernetes (container orchestration), Docker, GitHub Actions (CI/CD)

GenAI Tools: Claude Code, Codex, OpenCode

Requirements

• Self-directed learner who actively seeks out information and experiments with new technologies
• Self-starter who takes initiative and makes progress without constant direction
• Ability to understand complex systems and break down problems step by step
• Resourceful problem-solver who uses AI tools, documentation, and code examples
• Strong communicator who explains concepts clearly and works well with others
• Comfortable with uncertainty and changing requirements

What You'll Learn

• How to build MCP servers and GenAI developer tooling that agents use to do real work
• Context engineering: how to represent work, architecture, and process so AI agents can reason about it
• Full-stack development: React/TypeScript frontend, Node.js server, and Rust systems programming
• API design, cloud deployment, and comprehensive testing strategies
• Code reviews, CI/CD pipelines, security and supply-chain requirements, and documentation practices

Position intended for students of Northeastern University as part of the Co-op Program, but all applications will be considered.