Arize AI

Build open-source TypeScript frameworks and tooling that help developers evaluate, observe, debug, and improve LLM applications. You’ll combine AI experimentation, community collaboration, and developer education while shaping the future of AI evaluation.

Build and deliver custom AI engineering solutions directly with enterprise customers, extending Arize’s observability and evaluation platform for production GenAI systems. This remote-first role combines hands-on development, technical project leadership, and executive-facing collaboration.

Help leading ML and GenAI teams adopt Arize by combining hands-on technical expertise with customer advising, product demonstrations, and strategic account support. This remote-first Solutions Engineering role requires candidates to be based in the New York City metro area or EST time zone.

Build and deliver production-grade GenAI observability solutions directly with enterprise engineering teams. This hands-on Forward Deployed role combines software development, AI expertise, customer engagement, and technical project leadership.

Build and debug generative-AI applications, internal copilots, and rapid customer proof-of-concepts at Arize AI. This autonomous, cross-functional role is remote-first for candidates based in the Singapore area.

Build polished frontend interfaces and interactive visualizations for Arize Phoenix, helping AI teams and agents investigate, evaluate, and improve AI systems. This role combines React and TypeScript engineering with product design, rapid prototyping, and pioneering Agent Experience patterns.

Build polished, scalable full-stack experiences and AI-powered capabilities for Arize’s leading AI observability and evaluation platform. You’ll work across TypeScript, React, Python, and Go while shaping products used to monitor and improve production AI systems.

Build the scalable backend systems, analytics infrastructure, and APIs that power Arize’s AI and LLM observability platform. This senior role combines distributed systems engineering with opportunities to develop AI-agent tooling and advanced evaluation capabilities.