Remote AI Product Engineer — End-to-End Builder

EY

Kansas City (MO)

Hybrid

USD 120,000 - 190,000

Full time

23 hours ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)
Paid time off
Flexible vacation policy

Job summary

EY is seeking a senior engineer for Challenger Core to turn AI demos into durable products. You’ll own end-to-end slices across experience, services, data, and AI behavior, with a strong emphasis on user-centric design and measurable outcomes.

The role emphasizes rapid iteration, testing assumptions, and balancing quality, speed, and cost. Travel up to 50% and a hybrid office approach are expected in this national program.

Qualifications

  • 5+ years of relevant experience.
  • Bachelor’s Degree in a relevant field.
  • End-to-end delivery from concept to adoption.
  • Technical breadth across frontend, backend, API, data, and cloud.
  • Applied AI experience with LLMs, retrieval, or tools.
  • Live-service ownership including telemetry and reliability.
  • User-centered practice with direct user collaboration.
  • Engineering craft with clear specs and maintainable code.

Responsibilities

  • Start with the user. Work directly with users and domain experts to understand workflows.
  • Test assumptions quickly with concise specifications, prototypes, and small releases.
  • Own complete product slices across experience, services, data, AI behavior, and enterprise integrations.
  • Shape AI behavior with instructions, context, retrieval, and structured outputs.
  • Build the evidence system with representative tasks and automated evaluations.
  • Connect outcomes to behavior by instrumenting user journeys and metrics.

Skills

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

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking a senior engineer for Challenger Core to turn AI demos into durable products. You’ll own end-to-end slices across experience, services, data, and AI behavior, with a strong emphasis on user-centric design and measurable outcomes.

The role emphasizes rapid iteration, testing assumptions, and balancing quality, speed, and cost. Travel up to 50% and a hybrid office approach are expected in this national program.

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