Software Engineer Intern, AI Developer Productivity

Responsibilities

• Ship measurable improvements to developer productivity (e.g., PR cycle time, CI duration, AI-assisted PR throughput)

• Write clean, well-tested code with thoughtful unit and integration coverage

• Contribute to Hyperproof's internal developer documentation, CLAUDE.md skill files, and MCP server configurations

• Work with Claude Code and GitHub Copilot day-to-day, and help evaluate tools like CodeRabbit for automated code review and PR summarization

• Help build automated agents for customer bug triage, PR regression classification, and error-to-fix workflows that chain multiple AI agents together

• Author and maintain CLAUDE.md skill files, MCP server configurations, and prompt engineering improvements

• Contribute to test impact analysis, flake quarantine, pipeline parallelization, and build acceleration

• Help provision multi-environment dev setups, authenticated MCP servers, and connected documentation that enable agentic coding workflows

• Build dashboards and instrumentation tracking PR throughput per developer, Claude usage rates, code coverage, and developer experience sentiment

• Explore using AI to automatically diagnose production errors from telemetry and propose or generate fixes

• Alongside AI-focused projects, get scoped feature and bug-fix work in TypeScript/Node.js/React and Java/C#

Requirements

• Currently pursuing a degree in Computer Science, Computer Engineering, or a related applied sciences discipline

• Hands-on familiarity with at least one AI coding assistant (Claude Code, Copilot, Cursor, or similar)

• Solid fundamentals in at least one modern language (TypeScript, Python, Java, C#, or Go) and comfort with Git and the command line

• Curiosity about prompt engineering, agentic systems, MCP, and the broader question of how to make engineers more effective

• Familiarity with REST APIs and a willingness to learn new technologies quickly

• Strong written communication skills