Arize AI

Senior AI Product Engineer, Fullstack

Arize AI
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6 months ago
Remote, United StatesSenior
H1B sponsor

Base Salary

$125k - $225k/yr

Responsibilities

  • Build maintainable, scalable, and performant full-stack code primarily in TypeScript and React, with opportunities to use Python and Go.
  • Design and build APIs and domain models for customer machine learning and LLM workflows.
  • Develop performant, reusable React components used throughout the application.
  • Research and implement visualization and dimensionality-reduction algorithms in a distributed environment.
  • Collaborate with product, design, backend, and customer engineering teams to enhance the product.
  • Contribute to in-house AI agents and participate in or lead architectural decisions.
  • Contribute to design reviews, code reviews, and technical documentation.

Requirements

  • At least five years of frontend experience building external user-facing interfaces, preferably with React and TypeScript.
  • Experience debugging complex systems in a team environment and building or operating complex, high-volume SaaS platforms.
  • Strong product ownership, user-focused UX sensibility, and collaborative teamwork.
  • Enthusiasm for the AI and LLM ecosystem and willingness to learn emerging technologies.
  • GraphQL or comparable API experience is preferred.
  • Experience with machine learning, analytics, data science, data visualization products, LLMs, or AI product development is preferred.

Benefits

  • Comprehensive medical, dental, and vision benefits.
  • 401(k) plan, unlimited paid time off, generous parental leave, and mental health and wellness support.
  • Remote-first work arrangement, with optional offices in New York City and the San Francisco Bay Area.
  • WFH monthly stipend for coworking spaces outside New York City and the San Francisco Bay Area.
Arize AI

About Arize AI

201-500 employees

Arize AI builds an observability and evaluation platform for machine learning, LLMs, and AI agents, helping teams monitor, trace, and improve models in production. The SaaS product is used by AI/ML engineers and MLOps teams to detect issues, run evaluations, and optimize performance using real production signals. Founded in 2020 and headquartered in San Francisco, the company serves enterprise customers across industries.

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