AI Developer

Cynet SystemsCharlotte, NC

About The Position

This role focuses on building and implementing AI/ML solutions, particularly in the area of Intelligent Automation and Document AI. The developer will be responsible for creating pipelines for document ingestion, classification, and extraction, as well as implementing validation and comparison logic for extracted data. The position requires strong programming skills in Python and experience with various AI/ML platforms and related technologies.

Requirements

  • 3–6+ years in AI/ML or Intelligent Automation.
  • Hands‑on experience with Document AI / IDP platforms (OCR, PDF parsing) based extraction.
  • Experience with confidence scoring, rule-based validation, semantic or fuzzy comparison, and API integration.
  • Strong skills in Python (Langchain, Pydantic, Langgraph).
  • Experience with REST APIs and microservices.
  • Proficiency in JSON/XML schema mapping and Kafka.
  • Experience with confidence scoring and validation logic.
  • Familiarity with workflow platforms.
  • Understanding of PII handling, model explainability, and audit controls.
  • Strong verbal and written communication skills.

Nice To Haves

  • Financial services or regulated industry experience.
  • BOT integration for downstream systems.
  • Experience with Alfresco or ServiceView.

Responsibilities

  • Build document ingestion and classification pipelines for Authorization Certificates and non‑standard documents.
  • Implement document scraping and template‑based extraction for structured forms.
  • Develop AI/LLM‑based extraction for unstructured and semi‑structured documents.
  • Generate field‑level and record‑level confidence scores.
  • Implement AI comparison logic for extracted data versus source documents.
  • Perform post‑load verification between Contact Master and source documents.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service