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The application window is expected to close on: 11/26/2026 This role involves a hybrid work model, with a flexible in-office schedule that requires commuting to the San Jose, CA office. Meet the Team Our DevNet team
The Opportunity We are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems that power context-aware large language models (LLMs). This role focuses on building robust Retrieval-Augmented Generation (RAG)
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