Applied AI Engineer

Role overview

This role sits at the intersection of applied AI and product engineering, turning promising AI behaviors into features that product teams can reliably predict, evaluate, and improve. The work centers on building model-powered features for specific jobs and validating them against real, representative cases.

Responsibilities

- Build model-powered features scoped to specific user jobs or internal workflows. - Test and evaluate features against real cases to measure how the AI actually behaves in practice. - Convert promising AI behavior into product surfaces that teams can ship, monitor, and iterate on. - Establish evaluation approaches that let product teams predict and improve AI feature performance over time.

Requirements

- Applied AI or product engineering experience building features where models are a core component rather than an add-on. - Comfort designing evaluations grounded in real use cases rather than synthetic benchmarks. - Ability to translate model behavior into predictable, improvable product primitives.