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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 OLAP database architecture, or researching and implementing the latest dimensionality reduction techniques – you will never lack a technical challenge. 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 magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second.
Job Responsibility:
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.
Nice to have:
Experience with distributed stream processing - Kafka, Gazette, or similar
Experience with OLAP systems
Familiarity with system observability tooling like Prometheus
Working knowledge of Machine Learning and/or Data Science
First-hand experience working with large language models (LLMs) or developing AI products.
What we offer:
competitive equity package
comprehensive benefits package, including medical, dental, vision
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