Description
The role is an AI Engineering position focused on end-to-end model quality, evaluation, production monitoring, and reliability for large language models and image generation systems. The engineer will build evaluation frameworks, offline tests, A/B experiments, and systems that track latency, hallucinations, and drift; work with TypeScript and Python; handle data for prompts and models; and support expansion into voice and video. The posting also lists advantages such as experience with Flux and Imagen, AI-native or agent-based products, LLM observability, and rapid prototyping.
