Harvey Logo

Harvey

Mid/Senior/Staff Software Engineer, Agents

Posted 6 Days Ago
Be an Early Applicant
In-Office
New York, NY
165K-312K Annually
Mid level
In-Office
New York, NY
165K-312K Annually
Mid level
As a Software Engineer, you'll design and build systems for AI agents in legal contexts, optimizing performance and developing effective workflows while collaborating with customers and PMs.
The summary above was generated by AI
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.

  • 3+ 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

$165,000 - $312,000 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]

Top Skills

Agent Frameworks
Llm Apis
Python

Similar Jobs

An Hour Ago
Easy Apply
In-Office or Remote
Easy Apply
Mid level
Mid level
Cloud • Information Technology • Consulting • Cybersecurity • Data Privacy
The Technical Administrative Assistant will support a senior executive by managing communication, scheduling, travel arrangements, task prioritization, project coordination, and document preparation while maintaining confidentiality.
Top Skills: Google WorkspaceSlackTask/Project Management Software
An Hour Ago
Easy Apply
Hybrid
Easy Apply
113K-252K Annually
Senior level
113K-252K Annually
Senior level
Fintech • Information Technology • Payments • Productivity • Software • Travel • Automation
The Senior Product Security Engineer will enhance product security by integrating security in the development lifecycle, conducting security assessments, and developing security tools while fostering a culture of security within teams.
Top Skills: AngularAWSCSSDastDockerGitGithub ActionsHibernateIastJava Spring FrameworkJavaScriptJenkinsJIRAKubernetesSastScaTerraform
3 Hours Ago
In-Office
18-32 Hourly
Junior
18-32 Hourly
Junior
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Patient Care Coordinator manages patient information, schedules appointments, verifies insurance, and supports team goals in a healthcare environment.
Top Skills: Electronic Health Record (Epic)MS Office

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account