{"schemaVersion":"jobsearcher.job.v1","id":"a9964f98e35a441c688242cb","url":"https://jobsearcher.com/jobs/a9964f98e35a441c688242cb","canonicalUrl":"https://jobsearcher.com/jobs/a9964f98e35a441c688242cb","title":"AI Engineer - Document Extraction and PII Redaction (Python)","description":"Build the privacy-first AI backbone of a fast-moving financial automation platform. This is a senior individual contributor role with direct ownership over document extraction architecture - no committee approvals, no sprawling org layers.Salary: $150,000 - $200,000 / year depending on experienceLocation: Fully Remote - US-based candidates only What you'll doDesign and scale high-accuracy document extraction pipelines that process complex PDFs, scans, tables, and financial statements in productionBuild and maintain programmatic PII masking and redaction layers that enforce strict data-privacy boundaries before any data reaches an external LLM APIIntegrate and prompt frontier LLM and vision APIs (OpenAI, Anthropic, Azure OpenAI) for structured financial data extractionEnforce downstream reliability with Pydantic models, JSON schema, or native function calling to guarantee schema-validated outputsOwn rigorous evaluation: build test sets, regression benchmarks, and accuracy metrics that continuously measure and improve pipeline performanceDrive key architectural decisions on document AI tooling (Azure Document Intelligence, AWS Textract, Google Document AI, or equivalent)Partner with platform engineers to harden AI pipeline security and satisfy financial-data compliance requirementsWhat you needClaude Code proficiency (strict requirement): Daily, production-level hands-on experience using Claude Code (Anthropic's agentic CLI) for development, refactoring, and codebase navigation - candidates without this will not advanceExpert Python engineering: Production-grade Python with a proven track record building and scaling enterprise AI/ML pipelinesEnterprise document extraction: 12+ months of recent, hands-on production experience with Azure Document Intelligence, AWS Textract, or Google Document AIFrontier LLM implementation: Current production-level expertise with frontier LLM and vision APIs (OpenAI, Anthropic, or Azure OpenAI)PII guardrails: Direct experience designing programmatic PII detection and automated redaction within live AI data flowsNice to have","company":"CyberCoders","rawCompany":"cybercoders","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-07T11:37:05.866Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer - Document Extraction and PII Redaction (Python)","description":"Build the privacy-first AI backbone of a fast-moving financial automation platform. This is a senior individual contributor role with direct ownership over document extraction architecture - no committee approvals, no sprawling org layers.Salary: $150,000 - $200,000 / year depending on experienceLocation: Fully Remote - US-based candidates only What you'll doDesign and scale high-accuracy document extraction pipelines that process complex PDFs, scans, tables, and financial statements in productionBuild and maintain programmatic PII masking and redaction layers that enforce strict data-privacy boundaries before any data reaches an external LLM APIIntegrate and prompt frontier LLM and vision APIs (OpenAI, Anthropic, Azure OpenAI) for structured financial data extractionEnforce downstream reliability with Pydantic models, JSON schema, or native function calling to guarantee schema-validated outputsOwn rigorous evaluation: build test sets, regression benchmarks, and accuracy metrics that continuously measure and improve pipeline performanceDrive key architectural decisions on document AI tooling (Azure Document Intelligence, AWS Textract, Google Document AI, or equivalent)Partner with platform engineers to harden AI pipeline security and satisfy financial-data compliance requirementsWhat you needClaude Code proficiency (strict requirement): Daily, production-level hands-on experience using Claude Code (Anthropic's agentic CLI) for development, refactoring, and codebase navigation - candidates without this will not advanceExpert Python engineering: Production-grade Python with a proven track record building and scaling enterprise AI/ML pipelinesEnterprise document extraction: 12+ months of recent, hands-on production experience with Azure Document Intelligence, AWS Textract, or Google Document AIFrontier LLM implementation: Current production-level expertise with frontier LLM and vision APIs (OpenAI, Anthropic, or Azure OpenAI)PII guardrails: Direct experience designing programmatic PII detection and automated redaction within live AI data flowsNice to have","datePosted":"2026-10-07T11:37:05.866Z","dateModified":"2026-10-07T11:37:05.866Z","hiringOrganization":{"@type":"Organization","name":"CyberCoders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a9964f98e35a441c688242cb"},"url":"https://jobsearcher.com/jobs/a9964f98e35a441c688242cb"}}