Software Engineer, Harvey
Agents
$161.3-241.9k
+ Equity and bonus
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$161.3-241.9k
+ Equity and bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 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
- 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
- 2-5 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
What the job involves
- 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
- 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
- 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
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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