Staff Software Engineer, Agents

Posted 12 Days Ago
Be an Early Applicant
New York, NY, USA
Hybrid
231K-340K Annually
Senior level
Artificial Intelligence • Legal Tech • Professional Services • Software
The Role
The role involves building AI agent systems for legal professionals, optimizing agent performance, and improving infrastructure for agent execution. Candidates will collaborate with customers and PMs to design evaluations and implement optimizations.
Summary Generated by Built In
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.

This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.

At Harvey, the future of professional services is being written today — and we’re just getting started.

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.

We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight.

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.

  • Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s.

  • Comfortable with when and how to use evaluations to drive quality.

  • Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop.

  • 8+ years (post-BS/MS) of software engineering experience.

  • We are hiring for this role across Mid, Senior, and Staff levels.

  • 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

$231,000 - $340,000 USD

Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].

#LI-BB1

Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

Skills Required

  • 8+ years of software engineering experience
  • Proficiency in Python
  • Experience working with LLM APIs and agent frameworks
  • Experience shipping user-facing products

Harvey Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvey and has not been reviewed or approved by Harvey.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental health support, and fertility benefits. This breadth indicates robust health protections within the total rewards package.
  • Parental & Family Support Paid parental leave is prominently offered with eligibility starting on day one. Family-building support complements leave policies to support different life stages.
  • Equity Value & Accessibility Equity is routinely positioned alongside competitive cash, with communications emphasizing pre-IPO upside. This signals meaningful access to ownership as part of compensation.

Harvey Insights

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The Company
HQ: San Francisco, California
373 Employees
Year Founded: 2022

What We Do

Harvey is a generative AI company backed by Sequoia and OpenAI's startup fund building the future of professional services.

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