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Document Processing Jobs in North Carolina (NOW HIRING)

JPMorgan Chase & Co.

Client Documentation

Charlotte, NC · On-site

$90 - $120/hr

Manage document intake, tracking, routing, and prioritization across internal stakeholders and ... Identify recurring pain points and contribute to standardization, playbooks, and process ...

FHR

M724-UiPath Developer 65886

Raleigh, NC · On-site

Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows. Build human-in-the-loop workflows that combine AI agents with employee oversight ...

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All JobsDocument Processing JobsDocument Processing Jobs in North Carolina

Document Processing information

What is document processing?

Document processing refers to the systematic handling of documents, which can include scanning, digitizing, organizing, indexing, and storing paper or electronic files. Professionals in this field ensure that information is accurately captured, categorized, and easily retrievable for future reference. Document processing is vital in industries such as healthcare, legal, finance, and government, where large volumes of information must be managed securely and efficiently. Advanced document processing may also involve data extraction using software or artificial intelligence to automate repetitive tasks.

What are the key skills and qualifications needed to thrive in document processing?

To thrive in Document Processing, you need strong attention to detail, organizational skills, and proficiency in data entry, often supported by a high school diploma or relevant certification. Familiarity with document management systems, OCR software, and office applications like Microsoft Word and Excel is typically required. Excellent time management, accuracy, and effective communication help you excel in this role. These skills ensure documents are processed efficiently and accurately, supporting smooth business operations and compliance.

What are some common challenges faced in a document processing role, and how can they be managed effectively?

A common challenge in Document Processing is maintaining accuracy and consistency while handling large volumes of data under tight deadlines. Errors in data entry or misfiling documents can have significant downstream impacts, so attention to detail is crucial. Many teams address these challenges by implementing robust quality control procedures, utilizing document management software, and promoting regular communication among team members to clarify protocols. Staying organized and proactively addressing discrepancies can help ensure smooth workflow and reduce mistakes.

What is the difference between Document Processing vs Data Entry Clerk?

AspectDocument ProcessingData Entry Clerk
Required CredentialsHigh school diploma; familiarity with document management softwareHigh school diploma; proficiency in data entry tools
Work EnvironmentOffice settings; handling physical and digital documentsOffice environments; inputting data into computer systems
Employer & Industry UsageLegal, healthcare, finance; document management rolesAdministrative, clerical; data management across industries
Common Search & ComparisonOften compared for document handling tasksCompared for data input roles

Document Processing involves managing, reviewing, and organizing documents, often in legal or healthcare settings. Data Entry Clerks focus on inputting data into systems. While both roles require attention to detail and similar skills, Document Processing emphasizes document management workflows, whereas Data Entry is centered on data accuracy and speed.

What are the most commonly searched types of Document Processing jobs in North Carolina?

The most popular types of Document Processing jobs in North Carolina are:

What are popular job titles related to Document Processing jobs in North Carolina?

For Document Processing jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Document Processing jobs in North Carolina look for?

The top searched job categories for Document Processing jobs in North Carolina are:

Document Processing jobs near you
Infographic showing various Document Processing job openings in North Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Google ADK GenAI Developer

Conflux Systems

Charlotte, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Google ADK GenAI Developer
Location: Charlotte, NC (Hybrid - 3 days office in a week)
Duration: 12+ Months
Job Description:
Responsibilities
Design and develop AI agents using Google ADK for enterprise business use cases.
Build single-agent and multi-agent applications with capabilities such as reasoning, planning, task execution, and collaboration.
Develop agent workflows using tools, function calling, callbacks, sessions, state management, and memory.
Integrate AI agents with enterprise APIs, databases, microservices, SaaS platforms, and business applications.
Build Retrieval-Augmented Generation solutions using enterprise documents, structured data, and knowledge repositories.
Integrate and configure Google Gemini models through Vertex AI for text, code, multimodal, and conversational use cases.
Implement agent tools for API invocation, database access, document processing, search, and workflow automation.
Develop secure and reliable GenAI applications with authentication, authorization, validation, guardrails, and human-in-the-loop controls.
Perform prompt engineering, context engineering, model configuration, response validation, and output optimization.
Test, debug, monitor, document, and deploy production-ready ADK agents using Google Cloud and DevOps practices.
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or a related field.
8+ years of experience in software development, AI engineering, ML engineering, or application development.
Hands-on experience developing Generative AI applications using Google ADK.
Strong experience with Google Gemini models and Vertex AI.
Proficiency in Python; experience with Java or TypeScript is an advantage.
Strong understanding of AI agent concepts, including:
  • Agent orchestration
  • Tool and function calling
  • Sessions and state
  • Agent memory
  • Callbacks
  • Multi-agent collaboration

Experience building RAG solutions using embeddings, vector search, document processing, and knowledge retrieval.
Experience integrating REST APIs, databases, third-party services, and enterprise systems.
Knowledge of Google Cloud services, IAM, Cloud Run, Google Kubernetes Engine, Cloud Functions, BigQuery, Cloud Storage, and Vertex AI.
Understanding of GenAI security, prompt injection, data privacy, hallucination mitigation, responsible AI, testing, and monitoring.

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