Context Engineering Intern

About MasterControl:
MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance. For more information, visit www.mastercontrol.com.
What You'll Do
Join MasterControl's Context Engineering team and build real product features using AI developmenttools (Claude Code, Codex, OpenCode) from day one.
The unique opportunity: Most internships have you working in isolation. Here, what you learn directlytranslates into improving the developer experience across the organization. You'll use GenAI tools to buildfeatures faster, then help optimize those same tools and practices for 150+ engineers. Your insights as anew 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 worktrees, with review gates and observability built in.
You'll work across the wholeproduct:
Core app: React/TypeScript web UI and server — work item management, agent sessionobservability, worktree 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 mandatorychecksum verification
Website: the Astro marketing site
Secondary: AI-tool usage analytics— build systems to track and improve how engineers use AI toolsacross the company, including data collection servers, analytics dashboards, and cloud infrastructure onKubernetes.
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 Vitest 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 productoutcomes we need
Frontend: React, Material-UI, Astro (website), Vitest (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 other
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 reasonabout it
Full-stack development: React/TypeScript frontend, Node.js server, and Rust systemsprogramming
API design, cloud deployment, and comprehensive testing strategies