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# Al Developer - Document Intelligence & Validation

- **Company:** Peoplentech Llc
- **Location:** Alexandria, VA, United States
- **Experience:** Experienced
- **Salary:** $149,760.0
- **Contract:** Permanent contract
- **Skills:** XML Schema, Adobe Acrobat, Application Programming Interfaces (APIs), JSON, Python (Programming Language), Parsing, Systems Integration, Large Language Models, Restful APIs, Microservices
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/al-developer-document-intelligence-validation-alexandria-va--17809f7d-c587-41eb-b4ea-b12cc22b4a32

## About the Role

Strong skills in:

 1. Python
 2. REST APIs / microservices
 3. JSON/XML schema mapping
 4. Experience with confidence scoring and validation logic
 5. Familiarity with workflow platforms
 6. Understanding of Pll handling, model explainability, and audit controls
Nice to Have:

 1. Financial services or regulated industry experience
 2. BOT integration for downstream systems
 3. Experience with Alfresco, Service View, 1. 3-6+ years in Al/ML or Intelligent Automation
 2. Hands-on experience with: Document Al/IDP platforms (OCR, PDF parsing) based extraction, Confidence scoring, rule-based validation, semantic or fuzzy comparison, API integration

Skills:
Adobe Acrobat, Application Programming Interface (API), Financial Services, PLL (Phase-Locked Loop), System Integration (SI), Validation Documentation

## Description

The Al Developer will design, build, and optimize document ingestion, extraction, validation, and comparison capabilities to modernize Middle Office authorization workflows.
This role focuses on hands-on delivery of Al models, confidence scoring, exception handling, and system integrations., 1. Build document ingestion and classification pipelines for Authorization Certificates and non-standard documents

 2. Implement document scraping / template-based extraction for structured forms
 3. Develop Al/LLM-based extraction for unstructured and semi-structured documents
 4. Generate field-level and record-level confidence scores
 5. Implement Al comparison logic:
 6. Extracted data vs source document
 7. Post-load verification between Contact Master and source docs


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