Content Pipeline Engineer

4 hours, 17 minutes ago
Full-time
Senior
Software Development
Black Canyon Consulting

Black Canyon Consulting

Black Canyon Consulting (BCC) is a Woman Owned Small Business specializing in innovative Program and IT Management Support Services with a focus on Integrity, Impact, and Innovation for Federal R&D programs.

Internet Software & Services
11-50
Founded 2017

Description

  • Design and implement ingestion and processing pipelines for PDFs, scans, images, forms, maps, and other unstructured content.
  • Build OCR and multimodal workflows to extract text, tables, metadata, identifiers, and domain-specific attributes.
  • Process plats and survey drawings, including legal descriptions, labels, bearings, distances, and spatial information.
  • Develop document parsing, classification, normalization, chunking, and metadata-enrichment processes.
  • Maintain provenance linking extracted information to source documents, systems, and business records.
  • Build document and vector indexes using OpenSearch or comparable technologies, including embeddings and semantic retrieval.
  • Develop APIs and interfaces for downstream applications and AI services to search and retrieve document content.
  • Implement agentic workflows for classification, extraction strategy selection, validation, exception handling, and quality assurance.
  • Establish confidence thresholds, human-review processes, evaluation datasets, and quality measurements.
  • Build automated testing, monitoring, observability, and optimization processes for accuracy, throughput, repeatability, and cost.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 5+ years of experience in software engineering, data engineering, search, document processing, or a related field.
  • Strong Python experience building production-grade data or content-processing pipelines.
  • Hands-on experience processing PDFs, images, scanned documents, and semi-structured content with OCR and extraction technologies.
  • Experience with document stores, search engines, or vector databases, including embeddings and semantic retrieval.
  • Experience with document parsing, classification, chunking, metadata enrichment, and source provenance.
  • Experience with LLM-enabled or agentic document-processing workflows.
  • Experience building pipelines with automated testing, logging, monitoring, error handling, and quality controls.
  • Experience evaluating OCR and extraction quality using measurable criteria and confidence thresholds.
  • Preferred: OpenSearch, AWS document-processing or AI services, LangChain, LangGraph, multimodal models, RAG, maps, engineering drawings, geospatial extraction, federal government, or permitting and regulatory documents.

Benefits

  • Medical, dental, and vision coverage.
  • 401(k) plan with employer contribution.
  • Paid holidays and vacation.
  • Tuition reimbursement.
  • Remote work arrangement.

Interested in this position?

Apply directly on the company website

Apply Now

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