Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
May 3, 2026
Full Job Description
đź“‹ Description
- • As a Staff Software Engineer, Agents at Harvey AI Inc., you will build the systems that make AI agents indispensable to legal professionals, designing environments and actions for agentic professional work, making model selection decisions, managing context windows, creating optimal tools, and developing evals to enable faster iteration loops and unlock new capabilities.
- • Day to day, you will partner with customers and product managers 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 the model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns; improve observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions; and stay current on new developments in agentic systems to bring learnings back to the products we build.
- • Harvey AI Inc. is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise to reshape how critical knowledge work gets done. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, the company is scaling fast and defining a new category in real time. The team is sharp, motivated, and deeply committed to the mission, operating with intensity, taking real ownership of problems, and staying close to customers to solve real problems with urgency and care.
- • In this role, you will have the opportunity to help build a generational company at a true inflection point, ship impactful products that save weeks of effort on high-pressure M&A deals, speed up deal turnaround, optimize litigation outcomes, and enable board-ready PowerPoint generation. You will grow your expertise in agentic systems, LLM APIs, eval-driven development, and low-latency infrastructure while working alongside world-class engineers and researchers who are immersed in the space and driven to ship with excellence.
🎯 Requirements
- • 8+ 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
- • 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
🏖️ Benefits
- • Compensation range of $231,000 - $340,000 USD
- • Opportunity to help build a generational company at a true inflection point with 1000+ customers in 60+ countries
- • Work with world-class investor support and strong product-market fit in a rapidly scaling company defining a new category
- • Collaborate with a sharp, motivated team that operates with intensity, takes real ownership, and stays close to customers to solve real problems with urgency and care
- • Growth opportunities for personal, professional, and financial development in an unmatched environment
- • Commitment to reasonable accommodations for applicants with disabilities via [email protected]
Skills & Technologies
About Harvey AI Inc.
Harvey AI Inc. provides a generative artificial-intelligence platform engineered specifically for the legal profession. The software integrates with law-firm workflows to automate contract drafting, review, due-diligence and regulatory research, producing lawyer-quality language grounded in up-to-date statutes and precedents. Harvey combines large language models trained on legal corpora with secure, private-cloud deployment and firm-specific fine-tuning to maintain confidentiality and compliance. Clients range from global law firms to in-house legal departments seeking efficiency gains without compromising accuracy or security. The company was founded in 2022 and is headquartered in San Francisco, California.
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