高级软件工程师，模型基础设施
Senior Software Engineer, Model Infrastructure
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领域专业知识，我们正在重塑未来几十年关键知识工作的完成方式。
这是一个难得的机会，帮助打造一家具有代际影响力的公司，在真正的转折点上共同前进。我们拥有强大的产品市场匹配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无与伦比。
我们的团队行动迅速，注重责任，并对使命有深刻承诺——以高强度运作，贴近客户，互相追求卓越。我们秉持三个价值观：果断、简洁、工作未完成。我们在明确判断下快速行动，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的人一起完成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
作为Model Infrastructure团队的资深软件工程师，你将负责设计和开发支撑Harvey所有AI请求的系统。你将与AI研究、产品工程、基础设施和外部模型提供商紧密合作，构建一个高度可靠、可扩展、可观测且高效的平台。
你将构建的内容
- 模型可靠性与运维
- 模型健康监控
- 自动故障转移与恢复
- 容量分配
- 运维工具和事件自动化
- 统一模型控制器（UMC）
- 基于策略的模型路由
- 智能模型选择器
- 模型健康监控
- 流量管理
- 可靠性和延迟优化
- 供应商平台
- 多供应商架构
- API和SDK集成
- OpenAI、Anthropic、Azure OpenAI、Fireworks、Baseten以及未来的供应商
- 快速采用新的前沿模型
- 可观测性与成本平台
- Token使用分析
- 成本归因
- 延迟和可靠性仪表盘
- 容量预测
- 利用率优化
- AI平台基础架构
- 支持模型评估的基础设施
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
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU'LL BUILD
- Model Reliability & Operations
- Model health monitoring
- Automated failover and recovery
- Capacity provisioning
- Operational tooling and incident automation
- Unified Model Controller (UMC)
- Policy-based model routing
- Intelligent Model Selector
- Model health monitoring
- Traffic management
- Reliability and latency optimization
- Provider Platform
- Multi-provider architecture
- API and SDK integrations
- OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers
- Rapid adoption of new frontier models
- Observability & Cost Platform
- Token usage analytics
- Cost attribution
- Latency and reliability dashboards
- Capacity forecasting
- Utilization optimization
- AI Platform Foundation
- Infrastructure supporting model evaluation
- Model deployment and operations
- Future model training platform
- Agent infrastructure and CcaaS
WHAT YOU'LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost.
- Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
- Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
WHAT YOU HAVE
- 4+ years of software engineering experience building large-scale distributed systems.
- Experience designing and operating highly available production services.
- Strong programming skills in Go, Java, Python, Rust, or C++.
- Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
- Experience leading technical projects across multiple engineering teams.
- Ability to balance long-term architecture with pragmatic execution.
- Strong communication and collaboration skills.
- Passion for building foundational platforms that enable other engineering teams.
NICE TO HAVE
- Experience with AI infrastructure, LLM serving, or machine learning platforms.
- Experience with model routing, inference gateways, or policy-based serving systems.
- Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
- Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
- Experience with large-scale observability and SRE best practices.
- Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Familiarity with GPU infrastructure or model training platforms.
COMPENSATION
$193,400 - 290,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
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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