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Senior AI Product Engineer, Backend

3 months, 3 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS Azure GCP Go Java Kafka Kubernetes LLM Machine Learning Microservices Node.js Prometheus Python REST API TypeScript
Apply Now
Arize AI

Arize AI

Arize AI offers a machine learning observability platform that enables practitioners to detect, diagnose, and improve the performance of their models, particularly focusing on enhancing the efficiency and outcomes of large language model applications.

IT Services
51-250
$61M raised
View All Jobs 13

Description

  • Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.
  • Build high-volume, highly available analytics systems.
  • Design and build APIs tailored to customers’ machine learning and LLM workflows.
  • Prototype, optimize, and maintain backend services that power the core platform.
  • Extend and contribute 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 visualization and dimensionality reduction algorithms in a distributed environment.
  • Collaborate with product, design, and customer engineering teams to improve and expand product offerings.
  • Contribute to the development of 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-side languages.
  • Interest in the AI and LLM ecosystem and a desire to learn emerging technologies.
  • Experience building and operating highly complex SaaS platforms or systems.
  • Knowledge of public clouds and container orchestration, such as AWS, GCP, Azure, and Kubernetes.
  • Experience with distributed stream processing tools such as Kafka or Gazette, preferred.
  • Experience with OLAP systems, preferred.
  • Familiarity with observability tooling such as Prometheus, preferred.
  • Working knowledge of machine learning and/or data science, preferred.
  • First-hand experience working with large language models or developing AI products, preferred.

Benefits

  • Estimated annual salary of $125,000 to $225,000.
  • Competitive equity package.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan.
  • Unlimited paid time off.
  • Generous parental leave.
  • Mental health and wellness support.
  • Remote-first work environment with office options in New York City and the San Francisco Bay Area.
  • WFH monthly stipend for co-working spaces for employees outside office locations.

Interested in this position?

Apply directly on the company website

Apply Now

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