高级AI产品工程师，全栈开发
Senior AI Product Engineer, Fullstack
关于 Arize
人工智能正在迅速改变世界。随着生成式 AI 重塑各个行业，团队需要强大的方式来监控、排查问题并优化他们的 AI 系统。这就是我们的用武之地。Arize AI 是领先的 AI 与智能体工程可观测性和评估平台，赋能 AI 工程师打造高性能、可靠的智能体和应用。从首个原型到生产规模，Arize AX 在一个工作区中统一了构建、测试和运行——让团队可以更有信心地快速交付。
我们是一家 C 轮融资公司，由顶级投资机构支持，融资总额超过 1.35 亿美元，客户数量迅速增长，包括 150 多家领先企业和财富 500 强公司。Booking.com、Uber、西门子和百事公司等客户使用 Arize 来实现真正有效的 AI。
机会
人工智能正在迅速改变世界。无论是开发下一代类人智能，增强语音助手，还是让研究人员能够大规模分析基因标记，AI 正越来越多地融入我们日常生活的各个方面。
Arize AI 是领先的 AI 可观测性和评估平台，赋能 AI 工程师构建和部署高性能、可靠的模型。随着 AI 领域从传统机器学习转向生成式 AI 和智能体系统，Arize 确保团队拥有在生产环境中监控、排查问题和改进 AI 的工具。
团队
我们的全栈工程团队构建了支撑 Arize ML 可观测性平台的高可扩展分布式服务，以及将这些功能带入现实的直观前端应用。团队主要使用 TypeScript 和 Python 创建无缝的数据可视化和监控体验，部分服务使用 Go 编写。我们专注于交付稳健的功能，帮助客户在整个技术栈中解读、可视化和监控他们的 AI 和 ML 模型。
你将加入推动 Arize 产品创新的核心团队。你将面临挑战，理解一些最具影响力的工程团队如何开发 AI 和大语言模型驱动的应用，并如何构建合适的工具以让他们发挥最佳水平。我们的产品解决方案包括干净的 API，可以自动对应用程序进行检测，用于提示工程和智能体开发的交互式沙盒，或扩展实时评估基础设施以每秒处理数百万个标注。
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About Arize
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
The Opportunity
AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.
Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.
The Team
Our Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life. The team primarily works in TypeScript and Python to create seamless data visualization and monitoring experiences, with some services written in Go. We focus on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.
You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second
What You’ll Do
- Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go.
- Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows.
- Design and build out performant and reusable react components that will be used throughout the application.
- Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
- Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
- Contribute to the build our own in-house AI Agents
- Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams.
- Contribute to design & code reviews and technical documentation.
What We’re Looking For
- 5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript
- Previous experience debugging complex systems in a team environment.
- Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
- Previous work building and operating highly complex, high-volume SaaS platforms/systems.
- Strong sense of product ownership in order to push features over the line.
- Passion for creating beautiful UX design with the end user in mind.
- A good teammate, someone who sees supporting their team as a core part of the job
Bonus Points, But Not Required
- Experience working with GraphQl or a comparable API technology.
- Experience working with ML, analytics, data science or data visualization products.
- Working knowledge of Machine Learning and/or Data Science.
- First-hand experience working with large language models (LLMs) or developing AI products.
The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
More About Arize
Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.
Learn more about what we're doing here:
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup