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Job Description
- Structure prompt-aware content to ensure AI agents respond accurately, determining where they require deterministic context versus Large Language Model (LLM) reasoning.
- Organize, tag, and chunk internal data to optimize Retrieval-Augmented Generation (RAG) systems for instant, precise retrieval.
- Analyze failed runs and awkward handoffs to identify context gaps, implementing real-time fixes to the agent's knowledge base.
- Bridge departments by harvesting and translating functional knowledge from product, legal, and brand into structured, agent-digestible formats.
- Drive alignment among cross-functional leaders with conflicting goals to advocate for durable, long-term product experience strategies that mitigate unintentional harm.