AI-First Product Engineer — End-to-End Impact

EY

Des Moines (IA)

Hybrid

USD 107,000 - 201,000

Full time

34 hours ago
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Benefits offered by this job

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

Job summary

EY is seeking an experienced engineer to turn emerging AI capabilities into durable products. You’ll work end-to-end, from user conversations to prototypes, secure services, and production evaluation, with speed balanced by accessibility and maintainability.

The role emphasizes ownership across the full stack, responsible AI design, and collaboration with cross-functional teams in a hybrid US environment, with up to 50% travel.

Qualifications

  • 5+ years of relevant experience.
  • Bachelor’s Degree in a relevant field.
  • End-to-end delivery: take software from concept through launch and adoption.
  • Technical breadth across frontend, backend, API, data, and cloud.
  • Applied AI experience: large language models, retrieval, tools, or similar patterns.
  • Evaluation experience: automated testing and behavioral evaluation.
  • Live-service ownership: telemetry, debugging, reliability, and recovery.
  • User-centered practice: work with users, designers, and product leaders.
  • Engineering craft: clear specs, maintainable code, and thoughtful reviews.
  • Travel up to 50% and hybrid office availability in the US.

Responsibilities

  • Start with the user: collaborate with users and domain experts to map real workflows and identify AI value.
  • Test assumptions quickly: translate hypotheses into concise specs, prototypes, and small releases.
  • Own complete product slices: build coherent verticals across experience, data, AI behavior, and integrations.
  • Shape AI behavior: design instructions, context, retrieval, and tool usage with careful adaptation.
  • Build the evidence system: create tasks and automated evaluations for usefulness, safety, and accessibility.
  • Connect outcomes to behavior: instrument journeys to relate adoption to latency, failures, and cost.
  • Engineer for responsible use: define permission boundaries, data handling, and rollback paths.
  • Maintain production quality: release incrementally, monitor, and recover from incidents.
  • Make practical trade-offs: balance UX, quality, speed, reliability, and cost.
  • Contribute reusable patterns: share components and evaluation assets across the platform.

Skills

Experience
Full-stack engineering
AI application depth
Product judgment
Evaluation discipline
Production ownership
High-agency collaboration
Live-service ownership
Engineering craft
Travel readiness

Education

Bachelor’s Degree in a relevant field

Job description

EY is seeking an experienced engineer to turn emerging AI capabilities into durable products. You’ll work end-to-end, from user conversations to prototypes, secure services, and production evaluation, with speed balanced by accessibility and maintainability.

The role emphasizes ownership across the full stack, responsible AI design, and collaboration with cross-functional teams in a hybrid US environment, with up to 50% travel.

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