AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize is the leading AI observability and Evaluation platform to help AI teams discover issues, diagnose problems, and improve the results of their AI Applications. We are here to build world class software that helps make AI applications work better.

In Short

Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.
Build high-volume and highly available analytics systems.
Design and build APIs specific to our customers’ Machine Learning and LLM workflows.
Prototype, optimize, and maintain scalable backend services that power the Arize core platform.
Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks.
Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.
Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
Contribute to the build our own in-house AI Agents.

Requirements

5+ years of experience working with high-performance backend systems.
Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
Previous work building and operating highly complex SaaS platforms/systems.
Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.