You will own the system prompts, persona, and evaluation frameworks for the YOlanda AI concierge to ensure accurate and safe user interactions. This involves writing training data, managing the model's knowledge boundaries, and shipping code to production using LangChain and LangGraph.
You will own the lifecycle communication strategy using Braze, managing mobile push, in-app messages, and SMS campaigns. You are responsible for building and optimizing user journeys in Canvas Flow, including onboarding, activation, and re-engagement, while ensuring high-quality messaging in both English and Spanish.
Build and maintain a shared KMP core for an AI inference platform, including business logic and state machines. Design the public API and migrate existing Android and iOS native code to the shared module.
Establish and lead the QA process for the YOnC AI platform, covering mobile apps, backend consoles, and web products. Responsibilities include verifying telemetry data, sanity-checking performance benchmarks, and building test automation for repetitive tasks.
