About the job
About Arize AI
At Arize AI, we are at the forefront of the AI revolution. As generative AI continues to redefine industries, it is essential for teams to have effective tools for monitoring, troubleshooting, and optimizing their AI systems. Arize AI is the premier observability and evaluation platform for AI and Agent Engineering, enabling AI engineers to deploy high-performing, reliable agents and applications. From initial prototype to full-scale production, our platform consolidates build, test, and run processes into a cohesive workspace—allowing teams to deliver faster and with greater assurance.
As a Series C company backed by leading investors, we have secured over $135M in funding and are rapidly expanding our customer base, which includes 150+ elite enterprises and Fortune 500 companies. Our clients, such as Booking.com, Uber, Siemens, and PepsiCo, rely on Arize to implement AI solutions that deliver results.
The Opportunity
The AI landscape is evolving swiftly, influencing various aspects of our daily lives—from developing advanced human-like intelligence to enhancing voice recognition systems and enabling researchers to analyze genetic data efficiently. Arize AI stands as the leading platform for AI observability and evaluation, equipping AI engineers with the right tools to build and deploy high-performing, reliable models. As we transition from traditional machine learning to generative AI and agentic systems, Arize ensures teams can monitor, troubleshoot, and enhance AI in production efficiently.
The Team
Our Fullstack Engineering team is responsible for developing highly scalable distributed services that drive Arize's ML observability platform, along with creating user-friendly frontend applications that bring these functionalities to life. The team primarily utilizes TypeScript and Python to craft seamless data visualization and monitoring experiences, with additional services implemented in Go. We focus on delivering robust features that enable clients to interpret, visualize, and monitor their AI and ML models across the entire stack.
Join our core team to drive product innovation at Arize. You'll engage with some of the most impactful engineering teams as they develop AI and LLM-powered applications, and you'll be challenged to build advanced solutions that meet their needs.

