Описание
Overview We are seeking a Content Pipeline Engineer to design and implement reusable pipelines for extracting, structuring, indexing, and retrieving information from permitting documents, maps, and other unstructured content. The Content Pipeline Engineer will build document-processing capabilities spanning OCR, document parsing, multimodal extraction, metadata enrichment, vector indexing, semantic retrieval, and agentic workflows.
The role
will support documents such as PDFs, scanned forms, well files, plats, survey drawings, maps, and legal descriptions and make their content available to downstream applications and AI services. This position is remote. Duties &
Responsibilities
Design and implement reusable ingestion and processing pipelines for PDFs, scanned documents, images, forms, maps, and other unstructured content. Implement OCR and multimodal document-processing workflows for both standard documents and map-related materials. Extract text, tables, metadata, identifiers, and domain-specific attributes from source documents.
Support extraction of information from plats and survey drawings, including legal descriptions, labels, bearings, distances, and other spatially relevant information. Develop document parsing, classification, normalization, chunking, and metadata-enrichment processes. Maintain linkage and provenance between extracted information, source documents, originating systems, and related business records.
Build document and vector indexes using OpenSearc
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