Backend Engineer (AI)- USA | Remote

Company: Torentify

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-07

About this role

## About the Company

York Solutions, LLC is a technology solutions company providing opportunities for professionals to work on innovative technology initiatives. The company supports collaborative, fast-paced environments focused on learning, development, teamwork, and career growth.

## About the Role

York Solutions, LLC is seeking a Backend AI / Document Processing Engineer to build and scale a document intelligence pipeline that transforms complex benefits content into AI-ready data. The role will initially focus on document ingestion and processing before expanding into AI-driven capabilities and workflow automation.

This is a remote contract opportunity with high autonomy, direct collaboration, and rapid development cycles.

## Key Responsibilities

### Weeks 1–9

\* Automate document ingestion from PDF, DOCX, HTML, and other supported formats.

\* Develop intelligent chunking strategies for different document types.

\* Implement quality scoring and document validation pipelines.

\* Enable cross-document reference mapping.

\* Build and support the document intelligence pipeline for AI-ready content.

### Weeks 10–12

\* Develop intent classification for action detection.

\* Build workflow orchestration frameworks.

\* Integrate workflows with task and reminder services.

\* Create and maintain an action capability registry.

\* Contribute to AI-driven workflows and intelligent automation capabilities.

## Required Qualifications

\* Strong Python and FastAPI development experience.

\* Experience building high-performance asynchronous services.

\* Experience with document processing, including OCR, PDF extraction, table parsing, and document structure understanding.

\* Experience with vector databases such as pgvector, Pinecone, or Weaviate.

\* Experience integrating LLM technologies, including LangChain, prompt engineering, and RAG pipelines.

\* Experience with data pipeline architecture, including queue systems, batch processing, and quality valid...

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