About the job
Why Join Harvey?
At Harvey, we're at the forefront of transforming legal and professional services. Our approach is not just incremental; it's a comprehensive overhaul driven by cutting-edge AI, a robust enterprise platform, and profound industry expertise. We're redefining how essential knowledge work is accomplished for generations.
This is a unique opportunity to contribute to a company poised for lasting impact. With over 1000 clients across 58+ countries, a strong product-market fit, and top-tier investor backing, we're rapidly scaling and creating a new category in real-time. The ambitions are high, the standards are elevated, and the potential for personal, professional, and financial growth is unparalleled.
Our team is composed of highly skilled and motivated individuals dedicated to our mission. We operate with speed and intensity, taking genuine ownership of the challenges we face—from initial brainstorming to long-term results. We maintain close relationships with our clients, collaborating across all levels to address real issues with urgency and care. If you thrive in dynamic environments, strive for excellence, and want to shape the future of work alongside like-minded professionals, we invite you to join us in this exciting journey.
At Harvey, we are writing the future of professional services, and the journey has just begun.
Role Overview
As a Senior Full Stack Software Engineer on the Product Engineering team at Harvey, you will spearhead engineering initiatives across our diverse product offerings. Collaborating closely with our AI, Legal, and Go-To-Market (GTM) teams, you will develop secure systems that provide substantial value to our clients. We seek individuals who have experience building outstanding products across various industries and who are enthusiastic about shaping the future of application layers and generative AI products.
Key Responsibilities
Developing retrieval systems for vast document archives exceeding petabytes
Creating organizational-level interfaces for seamless AI collaboration
Managing dedicated GPU resources across multiple global regions
Implementing 1000-step planning agents to assist with corporate public offerings
Ensuring government-level security for extremely sensitive projects
Assessing large language models across a 10,000+ task taxonomy
Conducting internet-scale data collection across 50+ jurisdictions
Qualifications
6+ years of experience in a full-stack software engineering role focused on product development.
Proficiency in modern programming languages and frameworks (e.g., JavaScript, Python, React, Node.js).
Strong understanding of database technologies, cloud platforms, and API development.
Experience with AI/ML technologies is a plus.
Excellent problem-solving skills and a collaborative mindset.
A passion for innovation and a commitment to delivering high-quality solutions.

