Job Description

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.

Responsibilities

Knowledge Extraction & Ingestion

Design and implement automated extraction pipelines for technical tailings storage facility (TSF) documents (PDFs, scanned reports, tables, figures).
Apply LLM-based and vision-based extraction techniques (OCR, layout understanding, multimodal models) to identify entities, attributes, relationships, and evidence.
Develop validation and normalization logic to ensure extracted knowledge meets quality and consistency requirements.





Knowledge Schema & Ontology Design

Design and evolve domain ontologies and knowledge schemas to support structured storage of TSF, risk, asset, and operational data.
Implement schemas using RDF/OWL, including classes, properties, constraints, and semantic relationships.
Align schemas with industry standards and internal MAV data models.

Knowledge Graph Development

Build and manage RDF-based knowledge graphs in graph repositories (e.g., GraphDB, RDFox, Neptune, or equivalent).
Implement ingestion workflows that map extracted content into graph structures with traceability to source documents.
Support versioning, provenance, and evidence linking within the knowledge graph.

Retrieval & GraphRAG Pipelines

Design and implement graph-native retrieval pipelines, combining SPARQL queries, reasoning, and embeddings where appropriate.
Develop GraphRAG architectures that leverage structu

📌 Engineer - AI (Bengaluru)
🏢 WSP in India
📍 Bengaluru