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We are seeking a Knowledge Engineer to support the development of MAV for structured ingestion, reasoning, and retrieval of complex mining and asset information. The successful candidate will design and implement end-to-end knowledge extraction and ingestion pipelines, transforming unstructured and semi-structured technical documents (PDFs, reports, drawings) into RDF-based knowledge graphs, and enabling graph-native retrieval and reasoning workflows (GraphRAG). This role sits at the intersection of knowledge engineering, AI-driven extraction (LLM + vision), ontology design, and graph analytics.