AI基础设施/产品经理
AI Infrastructure / Product Engineer
作为 AI 基础设施/产品工程师，你将在 AI 研究和产品的交叉点工作，帮助使实验成为可靠的法律工作工具。你将建立评估系统，后端服务和产品功能，以帮助测量和改善生产中的应用 AI.你会做什么？- 从研究原型中构建可重复的基准和评估管道来确定模型精度，幻觉，检索质量，延迟和成本。- 创建仪表板让系统性能变化为团队显现出色。- 从研究样本开发生产检索，编写，文档和代理的工作流程。- 建立后端服务，API 和内部工具来测试并发布改进。- 部署和运营云基础设施，包括监控，数据库和交付管道。- 与人工智能研究合作，同时保持与产品和用户需求联系。我们正在寻找什么？- 至少3年的软件，基础设施或产品工程师建设和部署生产系统的经验。- 强大的 Python 技能和实践经验部署软件到云中。- 构建评估管道，基准或机器学习或人工智能系统的评估系统的经历。- 经验与 API,数据库，后端服务，部署管道和将实验代码转化为可维护的产品系统。- 构建仪表板或监控系统的经验以可视化性能，并可靠地运行云部署。- 全堆积体验是个优点。熟悉 FastAPI,Docker,React,Next.js,Postgres,向量数据库，LLM,检索增强生成，代理，AI 基准或文档自动化的知识很有帮助。补偿和益处根据相关技能，经验和签证范围，年薪基本工资为18万至26万美元。在美国没有赞助角色。LOCATION 远程技能。
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ABOUT THE ROLE
As an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product, helping turn experiments into dependable tools for legal work. You will build evaluation systems, backend services, and product features that help measure and improve applied AI in production.
WHAT YOU'LL DO
- Build repeatable benchmarks and evaluation pipelines for model accuracy, hallucinations, retrieval quality, latency, and cost.
- Create dashboards that make system performance changes visible to the team.
- Develop production retrieval, drafting, document, and agent workflows from research prototypes.
- Build backend services, APIs, and internal tools to test and release improvements.
- Deploy and operate cloud infrastructure, including monitoring, databases, and delivery pipelines.
- Collaborate 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 experience deploying software to the cloud.
- Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.
- Experience with APIs, databases, backend services, deployment pipelines, and systems that turn experimental code into maintainable products.
- Experience building dashboards or monitoring systems to visualize performance, and operating cloud deployments reliably.
- Full-stack experience is a plus. Familiarity with FastAPI, Docker, React, Next.js, Postgres, vector databases, LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation 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.