资深软件工程师，AI平台
Staff Software Engineer, AI Platform
为什么选择Harvey
在Harvey，我们正在改变法律和专业服务的运作方式。通过结合前沿的代理AI、企业级平台和深厚的专业知识，我们正在重塑未来数十年的关键知识工作。
这是一个难得的机会，帮助打造一家具有时代意义的公司，在真正的转折点上参与其中。我们拥有强大的产品与市场契合度和世界级的投资支持。我们正在快速扩展，并实时定义一个新类别。这项工作充满雄心，标准很高，个人、职业和财务上的成长机会是无与伦比的。
我们的团队行动迅速，有责任感，并对使命充满热情——以高强度运作，贴近客户，不断追求卓越。我们秉持三个价值观：果断、简洁、工作未完成。我们更倾向于基于清晰判断快速行动，而非等待完美信息；我们认为简洁才是可扩展的关键；我们从不满足于现状。如果你希望与志同道合、有同样激情的人一起做出职业生涯中最出色的工作，我们期待与你携手共创。
在Harvey，专业服务的未来正在今天被书写——而我们才刚刚开始。
职位概述
Harvey的所有产品都依赖于一个共享的AI基础：决定我们的代理能交付什么质量工作的模型层和代理基础设施。法律是AI最难处理的领域之一：文件可以达到数百页，案件可能涉及数百万个文件，准确性上没有任何容错空间。
AI平台团队构建了Harvey所有产品和代理团队所依赖的基础。这个团队还处于早期阶段，有很多需要建设的内容：模型路由、代理架构、上下文管理、评估等。你在这里的工作将决定Harvey AI所能达到的上限。
代表性项目
- 上下文工程与代理基础设施。构建平台级别的系统，用于上下文管理、会话状态和记忆，这些是Harvey所有代理和产品所依赖的。
- 模型集成与路由。负责让Harvey快速接入新基础模型的基础设施，并为每个任务路由到合适的模型——这是每个产品团队都依赖的能力。
- 评估基础设施。构建共享的评估工具和框架，使Harvey的每个团队都能系统地衡量和提升AI质量。
- 共享抽象层。创建SDK、平台原语和开发者工具，使Harvey的每个团队都能大幅简化开发流程。
查看英文原文
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. 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. We have 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.
The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.
REPRESENTATIVE PROJECTS
- Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.
- Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.
- Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.
- Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.
WHAT YOU’LL DO
- Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products.
- Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.
- Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.
- Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.
- Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.
WHAT YOU HAVE
- 8+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams.
- Experience building and shipping multi-model or multi-provider AI systems in production.
- Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.
- A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.
- Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.
- Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.
- A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.
- Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.
COMPENSATION RANGE
$231,000 - $340,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
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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 accommodations@harvey.ai