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Arize AI Open Source Infrastructure Engineer

Salary

$125k - $225k

Min Experience

3 years

Location

New York, San Francisco Bay Area, remote from US

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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 AI is the leading AI observability and evaluation platform, helping 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 — and we're inviting you to join us on this mission. Large Language Models (LLMs) like GPT4 are capable of human and super-human reasoning, but they don't understand your personal data, are unable to perform complex tasks, remember the actions they performed yesterday, and so on. The core mission of the Arize OSS team is to enable developers to build LLM-powered applications with safety and observability in mind. We are at the forefront of a new way to build software. Doing this successfully will usher in a new age of knowledge automation and completely redefine the modern tech stack. Our product offerings consist of an open-source Typescript libraries as well as an enterprise platform. Arize Phoenix has hundreds of thousands monthly downloads and is used from large enterprises to early-stage startups - it is both easy to get started but robust for production use. You will focus on designing, building, and scaling the infrastructure that powers Arize's platform services. You will work directly with our open-source team to ensure the Arize Phoenix's robustness, scalability, and accessibility for developers worldwide. This is a unique opportunity to contribute to foundational infrastructure that will shape the way organizations observe and evaluate AI systems. Collaborate with internal teams and the open-source community to architect and scale infrastructure that supports Arize Phoenix's growth. Enable and enhance Phoenix's SaaS capabilities by building out features such as central authentication, data retention, and capacity scaling. Build out a robust set of infrastructure tools and services that alleviates the operations across the suite of Arize's product offering.

About the company

Machine learning observability platform

Skills

kubernetes
typescript
python
go
terraform
bazel