Harvey currently has 34 active AI-related job listings. The majority of these roles, 94%, are focused on agents. The top hiring function is Engineering, with 29 positions. The company is primarily hiring in the United States, with 31 roles. Frequent tech tags include agent orchestration, model serving, and RAG. In the last 30 days, Harvey has added 13 new AI roles, representing an 86% increase compared to the previous 30-day period.
Currently tracking 26 active AI roles, up 33% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $145k–$360k (avg $257k).
Harvey currently has 40 active AI-related roles in our index. The most common open titles are: Senior Software Engineer, Backend (3), Staff Software Engineer, Backend (3), Applied Legal Researcher (2), GTM Technology Product Owner (Growth) (2), Legal Engineer - Custom Solutions (2). Most positions are in Engineering and Product.
Harvey's active AI hiring is concentrated in: agents (90%), application (5%), evaluation (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Harvey is hiring AI talent in: United States (34 roles), India (5 roles), Canada (1 role).
Job postings at Harvey most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Harvey has posted 8 new AI-related roles. That is a -27% change versus the prior 30 days (11 → 8).
| Title | Stage | AI score |
|---|---|---|
| Legal Engineer This role focuses on applying legal expertise to demonstrate and explain the value of Harvey's AI solutions to legal professionals, supporting the sales strategy by building consultative relationships and becoming a trusted advisor on how AI can enhance legal workflows. The role involves customer discovery, education, product demonstrations, and acting as a liaison between customers and the product team. | — | 5 |
| Legal Engineer, Product Specialist This role focuses on integrating Harvey's AI platform into legal workflows, driving customer adoption and expansion. It requires legal expertise, customer-facing skills, and collaboration with product/engineering teams to translate legal needs into product feedback. The role is customer-facing and product-focused within the enterprise AI domain, supporting a scaling product. | — | 5 |
| Enterprise Account Executive Enterprise Account Executive for an AI company focused on legal and professional services, responsible for driving commercial growth in Italy. This role involves identifying opportunities, managing complex sales cycles, building client relationships, and collaborating with internal teams to deliver tailored solutions. |
| — |
| 5 |