Harvey
AI Frontier · Legal AI
- HQ
- San Francisco, US
- Founded
- 2022
- Size
- 500+
- Website
- harvey.ai
Products
Harvey has 58 active AI-related job listings. The majority of these roles, 86%, are focused on agents. Engineering is the dominant function, with hiring concentrated in the United States. The company is frequently seeking expertise in agent orchestration, LLM observability, and model serving.
Currently tracking 39 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $124k–$360k (avg $248k).
AI Frontier · Legal AI
Harvey currently has 57 active AI-related roles in our index. The most common open titles are: GTM Technology Product Owner (3), Senior Software Engineer, Agents (3), Senior Software Engineer, Backend (3), Sr. AI Enablement Engineer (3), Staff Software Engineer, Agents (3). Most positions are in Engineering and Product.
Harvey's active AI hiring is concentrated in: agents (86%), serving infrastructure (5%), application (4%). 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 (50 roles), India (3 roles), Canada (1 role).
Job postings at Harvey most frequently mention: Agentic Systems, Software Engineering, Testing Practices, LLM Evaluation & Grading, Content Generation.
In the past 30 days, Harvey has posted 16 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, Model Infrastructure Staff Software Engineer on the Model Infrastructure team to lead the design and development of systems powering AI requests, focusing on a reliable, scalable, observable, and efficient platform for AI inference, model control, and provider integration. | ServeAgent | 7 |
| Senior Engineering Manager, Model Infrastructure Senior Engineering Manager for Model Infrastructure at Harvey, leading a team responsible for the platform powering all model requests. The role involves managing a team, defining the technical roadmap for reliability, scalability, and cost-efficiency, building systems for model provisioning and failover, owning the multi-provider model platform, driving the evolution of the Unified Model Controller, improving observability, supporting new model launches, improving inference efficiency, and building infrastructure for future model training efforts. The role requires significant software engineering and management experience, with a strong technical background in distributed systems and operational excellence. Experience with AI infrastructure, LLM serving, and multiple model providers is a plus. |
| ServeAgent |
| 7 |