Engineering
AI Product Engineer
When AI is the product, not a feature within one
Builds AI-native products end to end. Not an engineer who adds AI to an existing product — someone who builds when AI is the product. Owns the full stack from model integration to user interface. Thinks about UX, reliability, and product behavior simultaneously.
What this role covers
Full-stack AI ownership — From model integration to user interface — owns the whole product
Non-deterministic product design — Designing for AI behavior that can surprise — fallbacks, confidence thresholds, human override
Evaluation frameworks — How you know the system is working and how you catch when it stops
Prompt engineering — Building reliable, versioned, testable AI behaviors
Product intuition — Understanding when to use AI and when not to
When you need this role
AI-native startups, product-led SaaS
"We're building a product where AI is the core experience. We need engineers who think in AI product loops, not just feature flags."
Established SaaS launching AI-first features
"We're rebuilding our core workflow around AI and our engineers don't have the mental model for it. The product behaves non-deterministically."