Senior Knowledge Graph Engineer

About the Role Are you a data engineering expert with a deep understanding of GraphDB and semantic modeling? AdeptNova is looking for a Senior Knowledge Graph Engineer to architect and scale our enterprise knowledge graphs. In this role, you will be at the intersection of big data and AI, building the semantic foundations that power advanced LLMs and Retrieval-Augmented Generation (GraphRAG) systems. What You Will Do • Graph Modeling: Design and implement scalable graph schemas and data models using GraphDB (Ontotext) or similar RDF-based triplestores. • Pipeline Engineering: Build robust ETL/ELT pipelines to ingest structured and unstructured data, ensuring high data integrity and low-latency updates. • Semantic Modeling: Develop and maintain enterprise ontologies and taxonomies utilizing OWL, RDFS, and SKOS. • Query Optimization: Write and optimize complex SPARQL queries and stored procedures for real-time application demands. • AI Integration: Collaborate with AI/ML teams to deploy GraphRAG patterns, using the knowledge graph to provide ground-truth context for Large Language Models (LLMs). • Leadership: Mentor junior engineers, driving best practices for graph versioning, security, and quality assurance. What You Bring (Must-Haves) • 6+ years of professional experience in Data Engineering or Backend Development. • Deep expertise in GraphDB and mastery of SPARQL. • Strong experience with Graph Modeling (RDF/S). • High proficiency in Python, Java, or Scala for data orchestration. • NLP Experience: Familiarity with Named Entity Recognition (NER) and Entity Linking (EL) to automate graph population. • Hands-on experience with big data ecosystems (Spark, Kafka, Flink) and cloud infrastructure (AWS/Azure/GCP). Bonus Points (Strong Plus) • Ontology Engineering: Experience with tools like Protegé for building formal logic-based schemas. • GraphRAG & LLMs: Proven track record of integrating graph data with LLM frameworks (LangChain, LlamaIndex) to enhance AI factual accuracy. • Vector Databases: Familiarity with hybrid search strategies combining graph relationships with vector embeddings (e.g., Weaviate, Milvus, or GraphDB’s Lucene/Vector integrations). How to Apply 📩 Send your updated resume/CV to: support@adeptnova.com