AI Developer

• 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., Position: AI Developer Location: Charlotte, NCHYBRID Duration: 1 Year Role Summary The AI Developer will design, build, and optimize document ingestion, extraction, va…
• 17 hours ago
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• 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., * Financial services or regulated industry experience.
• BOT integration for downstream systems.
• Experience with Alfresco or ServiceView.

Skills:

• AI/ML.
• Intelligent Automation.
• Document AI.
• IDP.
• OCR.
• PDF parsing.
• Python.
• Langchain.
• Pydantic.
• Langgraph.
• REST APIs.
• Microservices.
• JSON.
• XML.
• Kafka.
• Confidence scoring.
• Validation logic.

Qualification And Education:

• Strong verbal and written communication skills.