Engineer

• Build ingestion pipelines for structured and unstructured data sources
• Implement sparse and dense, semantic and lexical indexing, and metadata enrichment strategies
• Contribute to creation and maintenance of multi-modal brand-specific ontologies and graphs for context linking and disambiguation
• Ensure data freshness, versioning, and reliability in retrieval systems
• Implement hybrid search strategies using vector and graph databases to optimize precision and recall
• Optimize intelligent query understanding and planning mechanisms for enterprise-grade use cases
• Engage with product managers and engineers to align retrieval outputs with creative workflows
• Monitor retrieval system health with metrics such as accuracy, latency, and fallback rate
• Implement caching, prefetching, and de-duplication strategies to deliver low-latency, high-throughput experiences

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