Software Engineer, Agents

Why Harvey

At Harvey, we're transforming how legal and professional services operate — not incrementally, but end-to-end. 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.

Role Overview

As a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals. You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities.

Representative Projects

• Save weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents
• Dramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal "playbook" to contracts
• Ensure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents
• Enable board-ready PowerPoint generation by tuning the harness and libraries for coding agents

What You'll Do

• Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what "excellent" means, and ship agents that get the job done
• Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development
• Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns
• Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions
• Stay current on new developments in agentic systems and bring those learnings back to the products we build

What You Have

• Passion for building effective domain-specific agents
• 2-5 years (post-BS/MS) of software engineering experience
• Proficiency in Python and experience working with LLM APIs and agent frameworks
• Experience with shipping user-facing products, either on the backend or full-stack

Compensation Range

$161,300 - $241,900 USD. Offers equity and bonus.