Ontology Data Engineer • Contract Role, Remote RedStream Technology is searching for a Data engineer with professional ontology experience. Key Responsibilities Ontology Development and Knowledge Engineering • Design, build, and maintain ontologies to support data integration and semantic reasoning. • Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. • Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications, including RAG pipelines and Agent Orchestration. Graph Database Expertise • Work with both Semantic Graph and Property Graph technologies, understanding their unique architectures and use cases. • Utilize Semantic Graph tools for rule-based inference and semantic reasoning. • Employ Property Graph tools like Neo4j, Amazon Neptune, and TigerGraph for network analytics and data exploration. • Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application • Apply network science techniques to analyze and interpret complex relationships within graph data. • Develop algorithms and models to extract insights from graph structures and relationships. • Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills: • Strong expertise in ontologies, including their design, implementation, and application in real-world scenarios. • Proficiency in graph database technologies, with hands-on experience in both Semantic Graph and Property Graph systems. • Solid understanding of network science concepts and their practical applications in graph engineering. • Familiarity with standards such as RDF and W3C for Semantic Graphs, as well as bespoke standards for Property Graphs. • Ability to mentor and train junior team members, fostering a culture of learning and growth. • Experience integrating AI considerations (like LLM-based retrieval, RAG pipelines, and Agent Orchestration) into graph ecosystem design. Preferred Qualifications • Experience with data pipelines and integrating graph databases into larger data ecosystems. • Knowledge of rule-based inference systems and network analytics tools. • Strong problem-solving skills and the ability to work independently on complex technical challenges. • Prior exposure to enterprise AI initiatives, demonstrating an understanding of how knowledge graphs support agent-based architectures. Education: Minimum Master's degree ideally in engineering, science or another technical or business related field