AI Product Engineer - End-to-End, User-Focused

EY

Sacramento (CA)

Hybride

USD 107 000 - 177 000

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Résumé du poste

EY Challenger is seeking an experienced engineer to turn emerging AI capabilities into durable, user-focused products. You’ll own complete product slices across experience, services, data, and AI behavior, moving quickly from user conversations to prototypes, secure services, and production evaluation.

Expect hybrid work with up to 50% travel and collaboration across diverse teams. Ideal candidates have 5+ years of end-to-end delivery, broad technical breadth, hands-on AI experience, and a track

Qualifications

  • 5+ years of relevant experience.
  • Bachelor’s Degree in a relevant field.
  • End-to-end delivery: taking software from concept to launch and adoption.
  • Technical breadth across frontend, backend, API, data, and cloud technologies.
  • Applied AI experience with LLMs, retrieval, tools, or similar patterns.
  • Evaluation experience with automated testing and behavioral evaluation.
  • Live-service ownership including telemetry, debugging, reliability, and incident response.
  • User-centered practice with direct collaboration with users and product leaders.
  • Engineering craft: clear specs, maintainable code, thoughtful reviews, and trade-offs.
  • Travel and on-site: up to 50% travel; hybrid office as needed.

Responsabilités

  • Start with the user; work with users and domain experts to define real workflows.
  • Test assumptions quickly with concise specs, prototypes, and small releases.
  • Own complete product slices across experience, services, data, AI behavior, and integrations.
  • Shape AI behavior: design instructions, context, retrieval, outputs, and tool use.
  • Build an evidence system with representative tasks and automated evaluations.
  • Instrument journeys to relate adoption to system behavior, latency, failures, and cost.
  • Engineer for responsible use: clear permissions, secure data handling, and graceful degradation.
  • Own production quality: release incrementally, monitor live behavior, and respond to incidents.
  • Make practical trade-offs balancing experience, quality, speed, reliability, and cost.
  • Contribute reusable patterns and evaluation assets across the platform.

Connaissances

Full-stack engineering
AI application depth
Product judgment
Evaluation discipline
Production ownership
High-agency collaboration

Formation

Bachelor’s Degree

Description du poste

EY Challenger is seeking an experienced engineer to turn emerging AI capabilities into durable, user-focused products. You’ll own complete product slices across experience, services, data, and AI behavior, moving quickly from user conversations to prototypes, secure services, and production evaluation.

Expect hybrid work with up to 50% travel and collaboration across diverse teams. Ideal candidates have 5+ years of end-to-end delivery, broad technical breadth, hands-on AI experience, and a track

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