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 500+ customers in 50+ countries. The work is ambitious, the bar is high, and the opportunity for growth is unmatched.
Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take ownership of the problems we tackle — from early thinking to long-term outcomes. If you thrive in ambiguity, push for excellence, and want to help shape the future of work, we invite you to build with us. Harvey is where the future of professional services is being written today — and we’re just getting started.
Role Overview
As an Applied AI Engineer on the Engineering team at Harvey, you will own and lead engineering projects across our various product lines. We are looking for individuals who have worked across the stack on incredible products and have experience building products where machine learning models are a core component.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
What You'll Do
Conduct data collection, experimentation, and analysis to drive algorithmic development for RAG and multi-step AI pipelines.
Zero-to-one product development: rapidly prototype, evaluate, integrate, and test new product features in close partnership with our legal team.
Develop new AI native workflows: implement streaming, long-running tasks, procedural UX, etc. for new AI tasks, finding the balance between state-of-the-art and pragmatism.
Representative Projects
Partner with our legal team to design and implement a method for evaluating the correctness of document citations. Use this to build a large dataset of ground-truth citations and then improve our core citation algorithm.
Make targeted improvements to our RAG pipelines to improve answer quality for user questions over corpuses of complex data.
Design and build systems that leverage state-of-the-art LLMs from multiple model providers, including custom models.
Work across the stack and with our legal team to create seamless multi-step AI workflows for complex legal tasks, like corporate merger due diligence.
What You Have
7+ years of experience (post-BS/MS) in an engineering role.
Experience with shipping a scaled and impactful product powered by machine learning: how to use offline datasets, online experiments, and recent research to build simple and high performance systems. Prior experience with LLMs and retrieval pipelines is not required.
Track record of shipping reliable products and a strong attention to detail.
Experience building backend platforms that can support multiple product lines.
Grit - experience working at early-stage startups is a plus.
Compensation Range
$238,000 – $290,000 USD
EEO statements:
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 interview-help@harvey.ai.
Additional Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology