Principal Engineer role focused on designing and building enterprise-scale graph systems, knowledge graphs, and semantic platforms that integrate AI/LLM capabilities. Responsibilities include developing entity resolution frameworks, semantic layers, hybrid retrieval architectures combining knowledge graphs and vector databases, graph-based reasoning systems, and distributed graph processing pipelines.… Requires 12+ years of software engineering with 8+ years designing graph systems at scale, expert-level knowledge of graph technologies (property graphs, RDF, SPARQL, Cypher), hands-on experience with GraphRAG and graph machine learning, and strong coding ability in Python, Java, Scala, or Go.
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