人工智能基础设施/产品经理 中级
AI Infrastructure / Product Engineer, Mid-Level
职位描述
加入一个分布式团队，在人工智能研究和产品开发的交汇点工作。你将把人工智能实验转化为可靠的法律工作产品，构建评估系统、服务和功能，以将应用人工智能投入生产。
你将负责的工作
- 构建可重复的基准测试和评估流程，以衡量准确性、幻觉、检索质量、延迟和成本。
- 创建仪表盘，帮助团队了解系统性能的变化。
- 将研究原型转化为可用的检索、起草、文档和代理工作流程。
- 构建后端服务、API 和内部工具，用于测试和发布改进。
- 部署和运营云基础设施，包括监控、数据库、交付流程和可靠的操作。
- 与人工智能研究团队紧密合作，同时保持与产品和用户需求的联系。
我们寻找的人选
- 至少 3 年作为软件、基础设施或产品工程师构建和部署生产系统的经验。
- 强大的 Python 技术能力，以及实际的云部署经验。
- 在构建评估流程、基准测试或评估系统方面有机器学习或人工智能系统的经验。
- 在 API、数据库、后端服务、部署流程以及仪表盘或监控系统方面有经验。
- 能够将实验代码和模糊的想法转化为可维护的产品。
- 对大语言模型（LLMs）、检索增强生成、代理、人工智能基准测试或文档自动化有兴趣或相关经验。
- 具备全栈经验者优先。熟悉 FastAPI、Docker、React、Next.js、Postgres 或向量数据库会更有帮助。
薪资与福利
年度基本薪资为 18 万美元至 26 万美元（美元），具体根据相关技能、经验和岗位范围而定。不提供签证担保。
地点
美国境内的远程办公。
查看英文原文
ABOUT THE ROLE
Join a distributed team working at the intersection of AI research and product development. You will turn AI experiments into reliable products for legal work, building the evaluation systems, services, and features needed to bring applied AI into production.
WHAT YOU'LL DO
- Build repeatable benchmarks and evaluation pipelines to measure accuracy, hallucinations, retrieval quality, latency, and cost.
- Create dashboards that help the team understand changes in system performance.
- Turn research prototypes into usable retrieval, drafting, document, and agent workflows.
- Build backend services, APIs, and internal tools for testing and releasing improvements.
- Deploy and operate cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations.
- Work closely with AI research while staying connected to product and user needs.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems.
- Strong Python skills and hands-on cloud deployment experience.
- Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.
- Experience with APIs, databases, backend services, deployment pipelines, and dashboards or monitoring systems.
- Ability to turn experimental code and ambiguous ideas into maintainable products.
- Interest or experience in LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation.
- Full-stack experience is a plus. Familiarity with FastAPI, Docker, React, Next.js, Postgres, or vector databases is helpful.
COMPENSATION & BENEFITS
Annual base salary is $180,000 to $260,000 USD, depending on relevant skills, experience, and role scope. Visa sponsorship is not available.
LOCATION
Remote within the United States.