Open Source Design Engineer
Arize AiAbout 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 Role
We're looking for a Design Engineer to build ambitious interfaces at the frontier of AI development, evaluation, and observability. You'll design, prototype, and ship experiences that help AI teams understand, troubleshoot, and improve the systems powering their next-generation applications.
Here's what makes this role different: Modern AI work is no longer purely human-driven. Arize Phoenix is a platform used by AI teams and AI agents such as Claude Code. You won't just craft great UX. You'll pioneer great AX (Agent Experience)—product surfaces that are delightful for people and interoperable, safe, and legible for agents.
What You’ll Work On
Product & Interface Design
- Design and build compelling product experiences for Arize Phoenix across UI-driven and programmatic workflows
- Create interactive visualizations for embeddings, traces, evaluation runs, and agent/tool workflows
- Develop reusable components and templates for our design system, from concept to production
Agent Experience (AX)
- Build Agent Experience primitives: interaction contracts, human-in-the-loop workflows, and agent-friendly UI surfaces
- Enable agents to query, navigate, trigger evaluations
- Shape the patterns that define how humans and AI agents collaborate within a shared workspace
Prototyping & Exploration
- Prototype new AI features and UI patterns for visualizing performance, surfacing anomalies, and explaining AI behavior—especially for multi-step agent systems
- Use A
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