Software Engineering Intern (Summer 2027) at Harvey
On-site · San Francisco, CA · intern
Practice the Software Engineering Intern (Summer 2027) interview at Harvey with an AI interviewer: voice, live coding and a scorecard.
Skills the interview covers
- Python
- TypeScript
- JavaScript
- Java
- Go
- AI-assisted development tools
About the role
You will: Own a project end-to-end from coding and testing to deploying it to production, and presenting your work to peers and leaders across the company. Write clean, maintainable code that meets our team's standards. You'll use AI-assisted development tools daily, and you’ll own the quality of everything you ship—AI-generated or not. Build real knowledge of the systems you support and the users they serve, bringing that perspective into product discussions. Debug problems in your area, follow escalation procedures, and treat quality as urgent. Our users are lawyers doing high-stakes work. Collaborate with your team through code review, pair programming, design reviews and technical documentation. Depending on your team, you could work on retrieval over large document collections, interfaces for collaborating with AI systems, multi-region compute infrastructure, enterprise agents, or secure systems for sensitive client data. You'll also evaluate frontier models alongside senior engineers. What You Have: Currently enrolled in a Bachelor's or Master's program in computer science, engineering, or a related field with a graduation date of December 2027 or later. Able to work from our New York or San Francisco offices during our summer cohort, based on your academic schedule. Relocation support is available. Previous internship experience is required. Technical foundation. Strong proficiency in one or more languages (Python, TypeScript/JavaScript, Java, Go, or similar) and solid general computer science knowledge. Decisiveness. You have a bias toward action. You've built something start to finish in coursework, a personal project, or in a past internship, and you know the difference between a decision you should make yourself and one worth getting feedback on. You'd rather move and correct course than stall. Simplicity. You can explain a complex technical idea in plain language, whether or not the person you're explaining it to is an engineer. You look for the simplest solution that works, and you know when added complexity is worth it. Job's Not Finished. You aren't satisfied when something merely works. You proactively seek out feedback, act on it, and keep pushing after the assignment is technically complete. Internship experience specifically at an early-stage startup is a plus. AI Forward. Comfortable using AI-assisted development tools (Claude Code, Codex, Cursor) and curious about building LLMs into your own coding workflow.