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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Data Wave Technologies Inc - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** XML Schema, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Continuous Integration, Enterprise Content Management, Monitoring of Systems, Information Extraction, JSON, Python (Programming Language), Parsing, Systems Integration, Data Processing, Enterprise Software Applications, Large Language Models, Prompt Engineering, AI Platforms, Information Technology, Apache Kafka, Machine Learning Operations, Api Design, Restful APIs, Data Pipelines, Microservices - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/ca522db1-4e3b-4cda-90d4-2496a689210b ## About the Role * Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. * 3 6+ years of experience in AI/ML, Intelligent Automation, or Intelligent Document Processing. * Hands-on experience building Document AI or Intelligent Document Processing (IDP) solutions. * Strong experience with OCR technologies, PDF parsing, and document extraction platforms. * Experience implementing confidence scoring, validation rules, and exception handling. * Strong Python development skills. Required Technical Skills AI & Machine Learning * Python * Lanchain * LangGraph * Pydantic * Large Language Models (LLMs) * Prompt Engineering Document Intelligence * OCR * Intelligent Document Processing (IDP) * Document AI platforms * PDF Parsing * Template-based Extraction * AI-based Information Extraction Validation & Comparison * Confidence Scoring * Rule-based Validation * Semantic Matching * Fuzzy Matching * Data Comparison Logic Integration & Development * REST APIs * Microservices Architecture * JSON/XML Schema Mapping * Kafka * API Integration Enterprise Technologies * Workflow platforms, * Experience in Financial Services, Banking, or other regulated industries. * Experience integrating AI solutions with BOT/RPA platforms for downstream automation. * Familiarity with Alfresco, ServiceView, or other enterprise content management platforms. * Experience with cloud-based AI services (Azure AI Document Intelligence, AWS Textract, Gogle Document AI). * Knowledge of MLOps, model monitoring, and CI/CD for AI applications. Preferred Experience * Designing enterprise-scale document intelligence solutions. * Building AI-powered validation and reconciliation workflows. * Developing scalable API-driven AI services. * Working with high-volume document processing environments. * Delivering explainable and auditable AI solutions in regulated environments. Soft Skills * Strong analytical and problem-solving skills. * Excellent communication and stakeholder management abilities. * Ability to work independently in a fast-paced Agile environment. * Strong collaboration skills across business and technology teams. * Detail-oriented with a focus on accuracy and quality. ## Description We are seeking an experienced AI Developer Document Intelligence & Validation to design, develop, and optimize intelligent document processing solutions that modernize Middle Office authorization workflows. This role will focus on building scalable AI-powered document ingestion, extraction, validation, comparison, and confidence-scoring capabilities for structured, semi-structured, and unstructured documents. The ideal candidate has hands-on experience developing Document AI solutions, integrating LLMs into enterprise applications, and building robust validation frameworks while ensuring regulatory compliance, explainability, and auditability., * Design and develop intelligent document ingestion and classification pipelines for Authorization Certificates and other non-standard documents. * Build OCR and template-based extraction solutions for structured forms and standardized documents. * Develop AI/LLM-powered extraction capabilities for semi-structured and unstructured documents using modern NLP frameworks. * Implement field-level and record-level confidence scoring to improve extraction accuracy and support automated decision-making. * Design and develop validation frameworks using business rules, semantic matching, and fuzzy comparison techniques. * Build AI-based comparison logic to: Compare extracted data against source documents. * + Perform post-load verification between Contact Master records and source documents. * Develop and maintain REST APIs and microservices to integrate AI solutions with enterprise applications. * Create JSON/XML schema mappings for document transformation and downstream processing. * Integrate document processing workflows with Kafka and other messaging platforms. * Handle exception management and human-in-the-loop workflows for low-confidence scenarios. * Ensure solutions comply with enterprise standards for PII protection, audit controls, model explainability, and governance. * Collaborate with business stakeholders, architects, QA teams, and platform engineers to deliver scalable AI solutions. * Optimize AI models and processing pipelines for accuracy, performance, and maintainability. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [From Bedside Beeps to Interoperable Bytes – Getting your medical devices ready to talk the IEEE 11073 language](https://www.wearedevelopers.com/videos/771-from-bedside-beeps-to-interoperable-bytes-getting-your-medical-devices-ready-to-talk-the-ieee-11073-language) - [Building an AI-Ready Content Lake: Scaling RAG and Document AI Beyond Demos](https://www.wearedevelopers.com/videos/1977-building-an-ai-ready-content-lake-scaling-rag-and-document-ai-beyond-demos) - [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications) - [Automated MS SQL Server database deployments with dacpacs and Azure DevOps](https://www.wearedevelopers.com/videos/334-automated-ms-sql-server-database-deployments-with-dacpacs-and-azure-devops) - [Building a Compiler with C#](https://www.wearedevelopers.com/videos/116-building-a-compiler-with-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)