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# TELECOMMUTE Hyperscience Developer - Intelligent Document Processing (IDP) Remote

- **Company:** SoftPath Technologies LLC
- **Location:** United States (Remote available)
- **Salary:** $118,560.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Audit Trail, User Authentication, Microsoft Azure, Continuous Integration, JSON, Python (Programming Language), Systems Development Life Cycle, Role-Based Access Control, Pega, Data Processing, Google Cloud, File Transfer Protocol (FTP), Appian, Git, Uipath, Performance Monitor, Restful APIs, Document Classification, Webhooks, Automation Anywhere, Api Management, Servicenow
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/213df1d9-bd0d-4dc0-8a32-c20436a29886

## About the Role

We're looking for a Hyperscience Developer with strong Intelligent Document Processing (IDP) experience and working knowledge of Python to build, enhance, and support document automation solutions., * 3+ years overall experience with hands-on IDP experience.

 * 1-2+ years of Hyperscience experience.
 * Working Python skills.
 * Strong understanding of OCR/ICR, document classification, key-value extraction, table extraction, and exception workflows.
 * Experience with REST APIs, JSON, authentication, and integration troubleshooting.
 * Familiarity with Git, SDLC, testing, environment promotion, and basic CI/CD.
 * Strong communication skills and ability to translate business requirements into extraction logic and validations.

Nice to Have

 * ServiceNow, Pega, or Appian experience.
 * UiPath or Automation Anywhere experience.
 * AWS, Azure, or Google Cloud Platform experience.
 * Experience handling PII/PHI, RBAC, and audit logging.
 * Experience operating IDP solutions at scale with high-volume processing, SLAs, and performance monitoring.

## Description

* Configure and develop Hyperscience pipelines for ingestion, classification, extraction, validation, and exception handling.
 * Build and tune extraction approaches using templates, rules, and ML-assisted techniques.
 * Use Python for scripting, data manipulation, validation, API integrations, and troubleshooting.
 * Integrate Hyperscience with enterprise platforms using REST APIs, webhooks, SFTP, queues, RPA, and workflow/case management tools.
 * Implement human-in-the-loop review processes, field-level validations, and QA sampling.
 * Establish testing practices, regression packs, and support dev/test/prod releases.
 * Monitor production performance, troubleshoot defects, perform root-cause analysis, and drive continuous improvements.
 * Create solution documentation, runbooks, and operational handoffs.


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