Senior AI Product Engineer, Fullstack

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 $135 M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like , Uber, Siemens, and Pepsi Co leverage Arize to deliver AI that works.

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.

Our full‑stack 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 Type Script 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  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.

• 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 building 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.

• 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.

• 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…