7 hours ago
Base Salary
$165k - $182k/yr
Responsibilities
- Design, implement, and ship production-level code across the stack while maintaining quality, reliability, and security standards.
- Collaborate with AI Research, Legal Engineering, Product, and Design to turn problem statements into product experiences.
- Participate in code reviews, technical design discussions, and engineering best-practice development with senior and staff engineers.
- Experiment with and evaluate cutting-edge LLMs and AI systems.
- Depending on team assignment, work on document retrieval, AI collaboration interfaces, multi-region compute infrastructure, enterprise agents, or secure systems for sensitive client data.
Requirements
- Bachelor's or master's degree in Computer Science, Software Engineering, or a related technical field, with graduation between Winter 2026 and Spring 2027.
- Previous internship experience is required.
- Strong proficiency in one or more of Python, TypeScript/JavaScript, Java, Go, or a similar language, along with solid computer science knowledge.
- Ability to work from the New York or San Francisco office starting in January 2027 and beyond.
- Experience building something from start to finish through coursework, a personal project, or an internship.
- Comfort using AI-assisted development tools such as Claude Code, Codex, and Cursor.
- Prior internship experience at an early-stage startup is a plus.
Benefits
- Relocation support is available.
- The role is based in the New York or San Francisco office beginning in January 2027.
- Candidates may be matched with teams including Agents, Applied AI, Assistant, Enterprise, Infrastructure, Mobile, and Vault.
Tech Stack
Categories
About Harvey
Harvey builds domain-specific generative AI for legal and other professional services, delivered as an enterprise platform and APIs to automate contract analysis, due diligence, compliance, and litigation workflows. Founded in 2022 and headquartered in San Francisco, it sells to law firms and corporate legal departments on enterprise agreements; investors include Sequoia Capital and OpenAI. Customers include multiple Am Law 100 firms and Fortune 500 companies’ legal teams.