Arize AI
Arize AI builds an observability and evaluation platform for machine learning, LLMs, and AI agents, helping teams monitor, trace, and improve models in production. The SaaS product is used by AI/ML engineers and MLOps teams to detect issues, run evaluations, and optimize performance using real production signals. Founded in 2020 and headquartered in San Francisco, the company serves enterprise customers across industries.
Open Positions at Arize AI
8 open positions
Support and troubleshoot Arize’s self-hosted, Kubernetes-based customer deployments as part of the On-Prem engineering team. This hands-on DevOps role focuses on infrastructure issues, platform health, networking, and customer-facing technical support.
Arize is seeking a DevOps Engineer to build, automate, and operate infrastructure for SaaS and on-premise deployments of its AI observability platform. The role combines Kubernetes and multi-cloud engineering with customer-facing infrastructure support.
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 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.