Software Engineer Intern, AI Developer Productivity - Summer 2026 - Hyperproof

Hyperproof is reinventing how engineering teams build software in the age of AI. We're looking for a Software Engineer Intern to join our Engineering team for Summer 2026 and help us push the frontier of AI-assisted development : from agentic coding workflows and automated code review to AI-powered observability and developer experience metrics. You'll work alongside experienced engineers shipping real tooling that other Hyperproof engineers depend on every day, while still getting plenty of hands-on, small-scale software engineering work because that's how you actually learn how things fit together.

Hyperproof runs a multi-tiered architecture on Azure Kubernetes Service, with a tech stack including TypeScript, Node.js, React, Java, C#, and PostgreSQL ; so there's no shortage of surface area to learn and contribute across.

KPIs FOR THIS ROLE

• 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

WHO YOU ARE

You are currently pursuing a degree in Computer Science, Computer Engineering, or a related applied sciences discipline. You're genuinely curious about how AI is changing software engineering and want to be on the team building the tools, not just using them.

As a Software Engineer Intern on the AI Developer Productivity team, you'll build internal tooling and automation that leverages LLMs, agentic workflows, and modern developer platform tech — and you'll do small, well-scoped feature work in our products to ground your understanding in how real systems behave.

This is a fully remote internship with a fully remote interview and onboarding process.

WHAT WE'RE LOOKING FOR YOU TO DO AND LEARN

• AI-Assisted Code Generation & Review : Work with Claude Code and GitHub Copilot day-to-day, and help evaluate tools like CodeRabbit for automated code review and PR summarization
• AI Agent Development : Help build automated agents for customer bug triage, PR regression classification, and error-to-fix workflows that chain multiple AI agents together
• Developer Context & Tooling : Author and maintain CLAUDE.md skill files, MCP server configurations, and prompt engineering improvements that raise the quality of AI output across the team
• CI/CD Optimization : Contribute to test impact analysis, flake quarantine, pipeline parallelization, and build acceleration to support higher AI-driven PR throughput
• Engineering Platform for AI : Help provision multi-environment dev setups, authenticated MCP servers, and connected documentation that enable agentic coding workflows
• Metrics & Measurement : Build dashboards and instrumentation tracking PR throughput per developer, Claude usage rates, code coverage, and developer experience sentiment
• AI-Powered Observability : Explore using AI to automatically diagnose production errors from telemetry and propose or generate fixes
• Foundational engineering work : Alongside the AI-focused projects, you'll get scoped feature and bug-fix work in our TypeScript/Node.js/React frontend and Java/C# backend services — because the best way to understand a developer productivity problem is to be a developer working in the system
• Work directly with a mentor on real problems, write automated tests, and document what you build

WHAT YOU'LL BRING

• Hands-on familiarity with at least one AI coding assistant (Claude Code, Copilot, Cursor, or similar) — and opinions about where they shine and where they fall over
• 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 — a lot of AI productivity work is fundamentally about clearly conveying context, both to humans and to models
• Bonus: any experience with CI/CD systems, observability tooling, or building developer tools

LOCATION

• We are a fully remote company. Rather than restrict ourselves to talent in one city, we'd rather find the best people regardless of where they live.

CANDIDATE EXPERIENCE

• We value your time and want you to know what to expect from us.
• For this internship, expect a 45-minute initial chat with our Senior Technical Talent Partner, a take-home technical assessment, and three 45-minute 1:1 conversations with members of our engineering team.
• You'll have space to ask the questions that matter to you, and we'll get to know you and think carefully about the right fit on our team.

WHERE YOU'LL GO

• Hyperproof loves internal transfers. If a linear career path isn't what you're looking for, you can work with your manager and our people team to explore lateral moves across the organization as you grow with us.

WHY YOU'LL LOVE HYPERPROOF

• It's an exciting time to be at Hyperproof. We're investing heavily in AI-augmented engineering, and interns here get to work on problems that genuinely move the needle for the team — not just busywork.
• Hyperproof is a radical new approach to helping organizations discover, track, and meet the web of compliance, business, and government requirements they face. We're disrupting the governance, risk, and compliance software space with products built by a team that cares about cloud software, great user experience, simplicity, and positive social impact.