Harvey
Staff Software Engineer, Frontend - NYC
New York · Staff+
Sponsorship not specified$231k-$340kDetected 28 days ago
TypeScriptPythonReactCSSTailwind CSSFull-Stack DevelopmentPostgreSQLAgentic AI
About the role
- As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines.
- You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers.
- We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.
Responsibilities
- Scale document ingestion and processing that is growing at 10x every 6 months
- Design massive data collection from over 50+ legal jurisdictions
- Build government-level security for top governments and firms
- Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.
- Experience building scalable and extensible solutions across the stack that can support multiple product lines.
Requirements
- 7+ Years of experience (post-BS/MS) in a product focused full-stack software engineering role.
- Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.
Nice to have
- Grit. experience working at early-stage startups is a plus.
Compensation
- $231,000 - $340,000
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
- YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
Benefits
- Track record of building fast-growing SaaS products.
Company info
- Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.
This listing is sourced directly from Harvey's careers page and normalized into a canonical job model.