Principal Engineer, Semantic Platforms and Graph Intelligence

$182,700 – $274,000 · Posted 1 day ago

San DiegoLast seen today

Summary

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.

Data Science DevOps / Infrastructure AWS Azure Java Kubernetes Python Agentic Workflows AI Amazon Neptune Apache Kafka API Design Arangodb Autonomous Decision Making Azure DevOps CI CD Cloud Native Containerization C#Cypher Data Governance Data Pipelines Data Quality Distributed Systems Docker .NET Entity Resolution Explainable AI Go Graph Algorithms Graph Embeddings Graph Machine Learning Graph Neural Networks Graph Observability GraphQL Graphrag Gremlin Identity Graphs Janusgraph Knowledge Graphs Knowledge Representation Lineage Link Prediction LLM Large Language Models Machine Learning Memgraph Metadata Management Neo4j Network Analysis Node Classification Observability Ontology Design Ontotext Graphdb Owl Rdf Rdfs Record Linkage Retrieval Augmented Generation Scala Semantic Modeling Spark Sparql Stardog Streaming Architectures Taxonomy Development Tigergraph Vector Databases Virtuoso