This role sits at the intersection of high-performance database engineering and developer experience. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. * Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases * Experience deploying AI/ML models in production, including inference APIs and vector databases
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