Founding Research Engineer (Knowledge Representation & Ontologies)

RootCause.ai is building the next generation of causal AI by combining causal reasoning, knowledge representation, and advanced machine learning to uncover cause-and-effect relationships in enterprise data. The Founding Research Engineer will build ontology frameworks, knowledge representation systems, entity resolution capabilities, graph-based reasoning systems, and scalable data infrastructure that enable AI to understand and reason over complex real-world information.

Responsibilities:

• Design and implement ontology frameworks that organize and connect structured and unstructured enterprise data
• Build knowledge representation systems capable of modeling real-world entities, relationships, and events
• Develop entity resolution and identity matching systems across large-scale datasets
• Create pipelines that leverage LLMs and machine learning models to extract and structure information
• Design graph-based systems and algorithms that support reasoning across large knowledge networks
• Collaborate with researchers and engineers to improve how causal discovery models interpret and reason over data
• Build scalable data processing infrastructure in Python and related technologies
• Prototype novel approaches to automated ontology induction and semantic mapping
• Evaluate emerging techniques in knowledge graphs, semantic systems, and AI infrastructure
• Contribute to the core research direction of the company while delivering production-quality systems