Arize AI

Arize AI

Senior AI Product Engineer, Backend

Remote (United States) · Senior

Sponsorship not specified$125k-$225kDetected 23 days ago
TypeScriptPythonJavaGoNode.jsDistributed SystemsBackend DevelopmentAlgorithmsAWSGCPAzureKubernetesKafkaMachine LearningLLMsAgentic AIResearch

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role76
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • 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.

Responsibilities

  • Build high-volume and highly available analytics systems.
  • Prototype, optimize, and maintain scalable backend services that power the Arize core platform.
  • 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
  • Previous work building and operating highly complex SaaS platforms/systems.

Requirements

  • 5+ years of experience working with high-performance backend systems.
  • Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
  • Knowledge of working with public clouds & container orchestration
  • Experience with distributed stream processing
  • Experience with OLAP systems.
  • Familiarity with system observability tooling like Prometheus.
  • Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.
  • Experience with distributed stream processing - Kafka, Gazette, or similar.

Skills

  • AI is rapidly transforming the world.

Compensation

  • The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package.

Benefits

  • Design and build APIs specific to our customers' Machine Learning and LLM workflows.

Company info

  • While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person.
  • What We're Looking For
  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI

This listing is sourced directly from Arize AI's careers page and normalized into a canonical job model.