Sr. Infrastructure Engineer
Platform Science- Full Time
- Senior (5 to 8 years)
AI is rapidly transforming the world, and Arize AI is at the forefront with its leading AI observability and evaluation platform. We are seeking an Infrastructure Engineer to join our mission of building world-class software that helps make AI applications work better. This role will focus on designing, building, and scaling the infrastructure that powers Arize’s platform services, with a direct impact on the robustness, scalability, and accessibility of Arize Phoenix for developers worldwide.
The Arize OSS team is dedicated to enabling developers to build LLM-powered applications with safety and observability in mind. Arize Phoenix, our open-source Typescript libraries and enterprise platform, has hundreds of thousands of monthly downloads and is used by a wide range of organizations. We are backed by prominent venture capital firms including TCV, Foundation Capital, Swift Ventures, and Battery Ventures.
As an Infrastructure Engineer, you will architect and scale the infrastructure supporting Arize Phoenix's growth. You will collaborate closely with our open-source team and focus on enhancing Phoenix’s SaaS capabilities by building features such as central authentication, data retention, and capacity scaling. You will also develop robust infrastructure tools and services to streamline operations across Arize's product offerings. This is a unique opportunity to contribute to foundational infrastructure that will shape the future of AI system observation and evaluation.
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses.
AI observability and model evaluation platform
Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.