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From Databricks’s original posting
P-1408 The Mission We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight. The Role: • As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company. • You will own the quality of results for two distinct but deeply connected "users": • The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed to synthesize accurate, high-stakes business actions. • The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces. The Technical Challenge This isn't a solved problem. You will be tackling "Search" in its most evolved form: • Hybrid Retrieval: Balancing traditional keyword-based search (for…
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