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Equinix

Global data center, colocation, interconnection provider

AI/Machine Learning Experience Engineer

Frontend EngineeringPosted on Nov 13
Full-timeHybrid

About the Job

Requirements

  • The role requires 1–4 years in front-end, full-stack, design engineering, UX engineering, or AI/ML engineering.
  • A bachelor's degree in computer science, human-computer interaction, design, engineering, or a related field is required, or equivalent experience.
  • Proficiency in JavaScript or TypeScript and a modern front-end framework such as React is required, along with working Python for prototyping with models and APIs.
  • A portfolio or work samples must demonstrate shipped or prototyped interfaces, including at least one using large language models or conversational interaction.
  • Working knowledge of large language model applications, including prompting, retrieval, and agents, and of how model behavior affects user experience is required.
  • Familiarity with usability testing methods and accessibility standards is required.
  • The candidate must be able to read usage data and write basic SQL.
  • Clear written and verbal communication, including with non-technical partners, is required.

Responsibilities

  • Build interactive prototypes and production interface components for AI products, including chat and voice flows, agent workspaces, builder consoles, and admin tools.
  • Design and implement conversation flows and response patterns covering tone, structure, clarifying questions, source citations, confidence cues, error handling, and handoff to a person.
  • Implement controls that keep users in charge, including review and edit before action, confirmation for high-impact steps, undo, and clear scope of what the AI can do.
  • Capture in-product feedback such as ratings, edits, and dismissals, and route it to the teams that act on it.
  • Contribute to a shared component library and design system for AI interfaces.
  • Write unit and end-to-end tests for interface components.
  • Improve the experience of people building on the platform through onboarding, documentation, templates, software development kits, and tools for testing and debugging agents.
  • Reduce time to first working agent and track where builders get stuck.
  • Plan and run usability tests, interviews, and session reviews with users and builders.
  • Define and track experience metrics including task completion, time to complete, adoption, retention, escalation rate, satisfaction, and builder time to first use.
  • Work with evaluation engineers to add experience criteria, including clarity, helpfulness, and appropriate tone, to evaluation rubrics and acceptance tests.
  • Turn findings into prioritized recommendations and backlog items.
  • Apply accessibility, localization, and inclusive design requirements.
  • Work with information security and legal teams on disclosure, consent, data-handling notices, and AI-generated-content labeling.
  • Check that interface behavior matches model and policy behavior, including what the AI says it can do versus what it can do.

Desired Qualifications

  • Experience designing for conversational AI, voice interfaces, or agent-builder tools.
  • Experience with design tools such as Figma and design systems.
  • Experience with product analytics, A/B testing, or session-replay tools.
  • Experience with large language model evaluation or observability tools.
  • Experience building developer tools, software development kits, or documentation.
  • Familiarity with responsible-AI guidelines for human-AI interaction.
  • A master's degree in a related field.

About the Company

Equinix

Global data center, colocation, interconnection provider

Equinix provides data center space, colocation, and interconnection services to businesses worldwide. Customers rent space to house servers and use interconnected networks inside Equinix data centers, enabling low-latency data transfer between networks and cloud providers. Unlike competitors that focus only on space, Equinix combines a global footprint with a large ecosystem of over 10,000 customers for direct, high-speed connections. Its goal is to enable fast, reliable digital operations and support customers’ digital transformation and multi-cloud strategies.

Company size
10,001+
Company stage
IPO
Headquarters
Redwood City, CA
Founded
1998

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