Senior AI Product Engineer, Backend

<div class="content-intro"><h3>About Arize</h3> <p>AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. <strong data-stringify-type="bold">Arize AI is the leading AI & Agent Engineering observability and evaluation platform</strong>, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.</p> <p>We’re a <strong data-stringify-type="bold">Series C</strong> company backed by top-tier investors,<strong data-stringify-type="bold"> </strong>with<strong data-stringify-type="bold"> over $135M in funding</strong> and a rapidly growing customer base of <strong data-stringify-type="bold">150+ leading enterprises and Fortune 500 companies. </strong>Customers like <a class="c-link" href="http://booking.com/" target="_blank" data-stringify-link="http://Booking.com" data-sk="tooltip_parent">Booking.com</a>, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><h3><strong>The Opportunity</strong></h3> <p>Our Backend Engineering team builds all of the highly scalable distributed services that power Arize’s ML observability platform. While Go is our primary language for these distributed systems, the team also maintains services and tools written in Python, Java, and TypeScript. The expectation and scope of every individual on this team is high, whether it’s finding the most efficient way to compute model evaluation metrics across billions of data points, designing the next generation of our <a href="https://arize.com/adb">OLAP database architecture</a>, or researching and implementing the latest dimensionality reduction techniques – you will never lack a technical challenge.</p> <p>You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that <a href="https://docs.arize.com/phoenix/tracing/how-to-tracing/instrumentation">magically instrument</a> applications,<a href="https://arize.com/docs/ax/prompts/prompt-playground"> interactive playgrounds</a> for prompt engineering and agent development, or scaling up <a href="https://arize.com/docs/ax/evaluate/online-evals">real-time evaluation infrastructure</a> to handle millions of annotations per second.</p> <h3><strong>What You’ll Do</strong></h3> <ul> <li>Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.</li> <li>Build high-volume and highly available analytics systems.</li> <li>Design and build APIs specific to our customers’ Machine Learning and LLM workflows.</li> <li>Prototype, optimize, and maintain scalable backend services that power the Arize core platform.</li> <li>Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks.</li> <li>Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.</li> <li>Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.</li> <li>Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.</li> <li>Contribut