Clark

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Senior Engineer, Intelligent Document Processing @ Clark

New York CityOnsiteFull-timePosted 7 days ago

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About this role

About ClarkClark is building the trust infrastructure for the AI economy.

We're starting with audit and accounting workflows—document-heavy, high-trust environments where reliability, accuracy, and security matter as much as product functionality. Our platform helps firms automate complex workflows, deploy AI safely, and modernize how audit teams operate.

The RoleWe are hiring a Senior Engineer focused on document processing, OCR, and extraction quality for live workpapers.

This role will own critical systems that turn messy customer documents into usable, reliable data for Clark's AI workflows. You will work across OCR, extraction, document understanding, validation, and product workflows that depend on accurate source material.

Why This Role MattersAudit workflows depend on documents: workpapers, financial statements, trial balances, invoices, confirmations, schedules, screenshots, PDFs, and spreadsheets.

If document processing is unreliable, product quality suffers. This role directly improves extraction accuracy, customer trust, and Clark's ability to support complex audit workflows in production.

What You'll DoBuild and improve OCR and document extraction systems

Design pipelines for parsing PDFs, spreadsheets, images, and structured/unstructured documents

Improve extraction quality, accuracy, and reliability for live customer workflows

Build validation systems and confidence scoring around extracted data

Partner with AI engineers to make extracted data usable in LLM workflows

Partner with Audit Engineers to understand document types and customer edge cases

Debug extraction failures and improve system performance over time

Build tooling to monitor and evaluate document processing quality

Support workpaper automation and evidence review workflows

Who You Are5+ years of software engineering experience

Experience building production data, document, OCR, or extraction systems

Strong backend engineering fundamentals

Strong debugging and data quality instincts

Experience working with PDFs, spreadsheets, images, or unstructured documents

Comfortable building systems where correctness and reliability matter

Strong ownership and ability to operate independently

BonusExperience with OCR, computer vision, document AI, or information extraction

Experience with LLMs or AI-native document workflows

Experience in accounting, audit, financial services, legaltech, insurance, or compliance

Experience building evals or quality measurement systems

Experience with large-scale document pipelines

Skills

Engineering

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