Remote AI Product Engineer (End-to-End Builder)

EY; St. Louis (MO); Remote; USD 107,000 - 201,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plans

Paid time off

Job summary

EY Challenger is building the next generation of services by turning AI into durable products. As an end-to-end builder, you’ll work close to users, product decisions, and production code, driving value from AI demonstrations to scalable offerings.

You’ll own complete product slices, test assumptions early, and ensure accessibility, maintainability, and responsible use while collaborating across cross-functional teams in a hybrid work model.

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 large language models, retrieval, tools, or AI patterns.
• Evaluation experience: automated testing and behavioral evaluation for probabilistic systems.
• Live-service ownership: telemetry, debugging, reliability, incident response, and recovery.
• User-centered practice: direct work with users, designers, and product leaders to improve product decisions.
• Engineering craft: clear specifications, maintainable code, thoughtful reviews, sound trade-offs.
• Travel and on-site requirements: up to 50% travel with hybrid office flexibility.

Responsibilities

• Start with the user and understand real workflows to identify AI value.
• Test assumptions quickly with concise specs, 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 an evidence system with representative tasks and automated evaluations.
• Relate adoption and task success to system behavior, latency, failures, and cost.
• Engineer for responsible use with clear permission boundaries and secure data handling.
• Own production quality by releasing incrementally and monitoring live behavior.
• Make practical trade-offs balancing experience, quality, speed, reliability, and cost.
• Contribute reusable patterns and evaluation assets across the platform.

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 Challenger is building the next generation of services by turning AI into durable products. As an end-to-end builder, you’ll work close to users, product decisions, and production code, driving value from AI demonstrations to scalable offerings.

You’ll own complete product slices, test assumptions early, and ensure accessibility, maintainability, and responsible use while collaborating across cross-functional teams in a hybrid work model.