Staff Software Engineer, Backend - NYC
AI summary of the role
Staff Software Engineer on the Product Engineering team at Harvey, owning and leading backend-heavy projects across AI-native legal products.
What you’ll do
- 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
- Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences
What you’ll bring
- 7+ YoE (post-BS/MS) in a product focused full-stack software engineering role
- Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related
- Track record of building fast-growing SaaS products
- Track record of shipping highly intuitive products, strong attention to detail
Technologies
React · TypeScript · TailwindCSS · Python · Postgres · Google Docs API · MS Word API · agentic orchestration · retrieval systems
About Harvey
Agentic AI platform purpose-built for elite law firms and in-house legal teams to automate research, drafting, document review, and complex matter workflows.
Private Late
Source and classification
Production engineering · Evidence for this classification:
information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview 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. This role is based in New York City. We use an in-person work model and offer
More from the job description
Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview 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 [... source excerpt omitted ...] ng the future of application layer and genAI products. This role is based in New York City. We use an in-person work model and offer relocation assistance to new employees. What You'll Do 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 Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences. Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems. Ship across the full stack—leveraging React and TypeSc
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