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NEXTMOVEFDE careers · United States
Harvey

Staff Software Engineer, Full Stack

AI summary of the role

Staff Software Engineer on the Product Engineering team at Harvey, owning full-stack 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

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 San Francisco, CA. We use an in-person work model and
How jobs are selected

Employer postings · Data from · Sources