AI Developer

7Th Sky Techologies llc; Charlotte (NC); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

7Th Sky Technologies LLC in Charlotte, NC seeks an AI Developer to design, develop, and optimize intelligent document-processing solutions across the full lifecycle—from ingestion and classification to extraction, validation, and downstream system integration.

The ideal candidate will bring hands‑on Python, AI/ML, LLMs, OCR, IDP, and experience with LangChain, Pydantic, LangGraph, REST APIs, microservices, and Kafka. Onsite work in Charlotte is required.

Formación

• Bachelor's degree in Computer Science, Engineering, AI, Data Science, or a related technical field.
• 3–6+ years of professional experience in AI/ML, Intelligent Automation, Document AI, or related engineering roles.
• Strong hands‑on programming experience with Python.
• Experience developing production‑grade AI/ML or intelligent document‑processing solutions.
• Hands‑on experience with OCR, PDF parsing, Document AI, IDP, or document extraction platforms.
• Experience implementing confidence scoring and validation logic.
• Strong understanding of semantic comparison, fuzzy matching, and rule‑based comparison.
• Experience developing and integrating REST APIs and microservices.
• Strong understanding of JSON/XML schema mapping.
• Experience with Kafka or event‑driven architectures.
• Experience handling structured, semi‑structured, and unstructured documents.

Responsabilidades

• Design and implement document ingestion pipelines for Authorization Certificates and other document types.
• Build classification workflows to identify document types and formats.
• Process PDFs, scanned documents, structured forms, and semi-structured content.
• Integrate OCR and document-processing technologies into scalable AI pipelines.
• Create template-based and rule-based extraction for structured forms.
• Develop AI/LLM-based extraction for unstructured content.
• Develop prompts, extraction schemas, validation rules, and processing workflows.
• Use LangChain, Pydantic, and LangGraph to build structured AI workflows.
• Design reusable extraction components for multiple document types.
• Develop field- and record-level confidence scoring and validation mechanisms.
• Establish automated exception-handling and fallback procedures.

Conocimientos

Python

AI/ML

LLMs

OCR

Document extraction

LangChain

Pydantic

LangGraph

REST APIs

Microservices

Kafka

Educación

Bachelor's degree in Computer Science, Engineering, AI, Data Science, or related field

Herramientas

Kafka

LangChain

Pydantic

LangGraph

Descripción del empleo

Location: Charlotte, NC

Interview: Face-to-Face / Onsite

Experience: 5–10+ Years

Work Arrangement: Onsite in Charlotte, NC

Job Summary

We are seeking a highly skilled AI Developer to join our team in Charlotte, NC. The AI Developer will design, develop, integrate, and optimize intelligent document-processing solutions that modernize Middle Office authorization workflows. The ideal candidate will have strong hands‑on experience with Python, AI/ML, LLMs, Intelligent Document Processing (IDP), OCR, document extraction, confidence scoring, validation, semantic comparison, REST APIs, microservices, Kafka, LangChain, Pydantic, and LangGraph. This role requires an engineer who can work across the complete document intelligence lifecycle—from document ingestion and classification through extraction, validation, exception handling, comparison, and downstream system integration. Candidates must be available for a face‑to‑face interview and onsite work in Charlotte, NC.

Key Responsibilities

Document Ingestion & Classification

• Design and develop document ingestion pipelines for Authorization Certificates and non-standard documents.
• Build document classification workflows capable of identifying different document types and formats.
• Process PDFs, scanned documents, structured forms, and semi-structured/unstructured content.
• Integrate OCR and document-processing technologies into scalable AI pipelines.
• Handle document quality issues including poor scans, missing fields, inconsistent formats, and variations in templates.

Document Extraction & AI/LLM Development

• Implement template-based and rule-based extraction for structured documents and standardized forms.
• Develop AI/LLM-based extraction solutions for unstructured and semi-structured documents.
• Use Python and modern AI frameworks to develop reliable document intelligence applications.
• Develop prompts, extraction schemas, validation rules, and processing workflows.
• Use LangChain, Pydantic, and LangGraph to build structured AI workflows and agentic/document-processing pipelines.
• Design reusable extraction components that can support multiple document types.

Confidence Scoring & Validation

• Develop field-level confidence scoring for extracted information.
• Implement record-level confidence scoring and quality assessment.
• Establish validation thresholds and automated exception-handling processes.
• Create rule-based validation mechanisms to identify inaccurate, incomplete, or suspicious extracted information.
• Develop fallback mechanisms for low-confidence AI results.
• Ensure extracted information can be traced back to the original source document.

AI-Based Comparison & Verification

• Develop AI-powered comparison capabilities between:
  • Extracted data and source documents.
  • Extracted records and existing system data.
  • Contact Master data and source documentation.
• Implement semantic, fuzzy, and rule-based comparison logic.
• Identify discrepancies, mismatches, missing information, and potential data-quality issues.
• Develop explainable comparison results that clearly indicate why a record was accepted, rejected, or sent for manual review.

API & Microservices Integration

• Design and develop REST APIs and microservices for document-processing and AI capabilities.
• Integrate AI/ML services with enterprise applications and workflow platforms.
• Develop JSON/XML schema mappings between systems.
• Integrate event-driven processing using Kafka.
• Support downstream system integrations and automated workflow processing.
• Troubleshoot integration, API, data-mapping, and processing issues.

Exception Handling & Workflow Automation

• Design automated workflows for handling low-confidence and exception scenarios.
• Route documents requiring human review to appropriate workflow queues.
• Develop mechanisms for manual review and feedback incorporation.
• Integrate AI capabilities with enterprise workflow and automation platforms.
• Support BOT/automation integration for downstream processing where required.

Security, Compliance & Auditability

• Implement appropriate controls for PII and sensitive document data.
• Follow enterprise security and data-governance standards.
• Design AI solutions with explainability and traceability in mind.
• Maintain audit trails for document processing, extraction, validation, and human overrides.
• Ensure AI-generated results can be reviewed and supported by source-document evidence.
• Follow applicable regulatory and compliance requirements for financial-services environments.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical field.
• 3–6+ years of professional experience in AI/ML, Intelligent Automation, Document AI, or related engineering roles.
• Strong hands‑on programming experience with Python.
• Experience developing production‑grade AI/ML or intelligent document‑processing solutions.
• Hands‑on experience with OCR, PDF parsing, Document AI, Intelligent Document Processing (IDP), or document extraction platforms.
• Experience implementing confidence scoring and validation logic.
• Strong understanding of semantic comparison, fuzzy matching, and rule‑based comparison.
• Experience developing and integrating REST APIs and microservices.
• Strong understanding of JSON/XML schema mapping.
• Experience with Kafka or event‑driven architectures.
• Experience handling structured, semi‑structured, and unstructured documents.

Technical Skills Required

• Python
• LangChain
• Pydantic
• LangGraph
• LLM / Generati

Skills: ai ml,ml,kafka,rest api,python,processing