Job description

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 OpenSearch or comparable technologies. Implement embeddings, semantic search, and retrieval pipelines. Develop APIs and reusable interfaces enabling downstream applications and AI services to search and retrieve document content. Implement agentic workflows for activities such as document classification, extraction strategy selection, validation, exception handling, and quality assurance. Establish confidence thresholds and human-review processes for uncertain or ambiguous extractions. Work with GIS engineers to connect map and document extraction results with georeferenced and vectorized geometry. Work with Data Scientists to create evaluation datasets and measure OCR, extraction, retrieval, and classification quality. Build automated testing, monitoring, and observability for document-processing pipelines. Optimize processing for accuracy, throughput, repeatability, and cost. Educational Requirements Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field. Requirements 5+ years of software engineering, data engineering, search, document-processing, or related experience. Strong Python development experience and experience building production-grade data or content-processing pipelines. Hands-on experience processing PDFs, images, scanned documents, and semi-structured content using OCR and document-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 preservation of source provenance. Experience with LLM-enabled or agentic document-processing workflows , including extraction, validation, routing, or exception handling. Experience building robust pipelines with automated testing, logging, monitoring, error handling, and quality controls. Experience evaluating OCR and extraction quality using measurable criteria and confidence thresholds. Strong problem-solving skills for working with complex and inconsistent document formats. Bonus Skills Experience with OpenSearch . Experience with AWS document-processing, AI, or machine-learning services. Experience with agentic frameworks such as LangChain, LangGraph, or similar orchestration frameworks . Experience with multimodal models, vision-language models, or LLM-based document extraction. Experience building RAG or enterprise semantic-search solutions. Experience with maps, engineering drawings, plats, survey documents, or legal descriptions. Experience extracting bearings, distances, coordinates, or other geospatial information from documents. Experience working in the U.S. Federal Government space . Experience with permitting, environmental, energy, land-management, or regulatory documents. Benefits and Salary We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Requirements

Must-haves

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.
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 OpenSearch or comparable technologies.
Implement embeddings, semantic search, and retrieval pipelines.
Develop APIs and reusable interfaces enabling downstream applications and AI services to search and retrieve document content.
Implement agentic workflows for activities such as document classification, extraction strategy selection, validation, exception handling, and quality assurance.
Establish confidence thresholds and human-review processes for uncertain or ambiguous extractions.
Work with GIS engineers to connect map and document extraction results with georeferenced and vectorized geometry.
Work with Data Scientists to create evaluation datasets and measure OCR, extraction, retrieval, and classification quality.
Build automated testing, monitoring, and observability for document-processing pipelines.
Optimize processing for accuracy, throughput, repeatability, and cost.
Educational Requirements
Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
5+ years of software engineering, data engineering, search, document-processing, or related experience.
Strong Python development experience and experience building production-grade data or content-processing pipelines.
Hands-on experience processing PDFs, images, scanned documents, and semi-structured content using OCR and document-extraction technologies.

Nice-to-haves

Bonus Skills

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k