1

Rag Developer Jobs in West Virginia (NOW HIRING)

Review AI/ML and platform solution designs - classical ML, LLM/RAG, and agentic systems - and ... Experience leading internal platform, ML platform, or developer-experience teams, including ...

Senior Applied AI Engineer

Charleston, WV · Remote

$113K - $149K/yr

... developer productivity. * Evaluate emerging LLMs, multimodal models, agent frameworks, and AI ... Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies ...

$175K - $350K/yr

RAG Pipeline Innovation: Build and optimize Retrieval-Augmented Generation pipelines with hybrid ... Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy.

Our platform enables engineers to ask questions in plain English and receive explainable ... Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise ...

Senior Agentic AI Software Engineer

Charleston, WV · On-site +1

$113K - $149K/yr

Design and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion, embeddings, hybrid retrieval, reranking, semantic search, context engineering, and prompt ...

The Principal AI Engineer is the most senior individual contributor and technical lead for ... Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG ...

... Developer Platform (IDP) - the foundational layer that powers engineering velocity across the ... RAG pipelines, and LLM API gateway management (AWS Bedrock, Azure OpenAI, Anthropic) Build AI ...

... Developer Platform (IDP) - the foundational layer that powers engineering velocity across the ... RAG pipelines, and LLM API gateway management (AWS Bedrock, Azure OpenAI, Anthropic) Build AI ...

You will report to the VP of Developer Platform Engineering. You'll have Opportunity To: * Oversee ... Track record building and operating production AI systems at enterprise scale - RAG pipelines ...

next page

Showing results 1-20

Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What are popular job titles related to Rag Developer jobs in West Virginia? For Rag Developer jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in West Virginia look for? The top searched job categories for Rag Developer jobs in West Virginia are:
What cities in West Virginia are hiring for Rag Developer jobs? Cities in West Virginia with the most Rag Developer job openings:
Infographic showing various Rag Developer job openings in West Virginia as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

Web Developer with AI Experience

Tier4 Group

Charleston, WV • Remote

Contractor

Posted 2 days ago

New


Job description

Our client is looking for Web Developers with AI to develop and maintain fully functional and tested web applications.
This position is 100% REMOTE, 6 MONTH CONTRACT and due to the nature of the work US CITIZENSHIP is required.

Web Development Responsibilities:

  • Design, develop, and maintain responsive web applications using modern frameworks and technologies.
  • Implement user interfaces (UI) and user experiences (UX) that are intuitive and accessible.
  • Integrate backend services and APIs to support web application functionality.
  • Ensure cross-browser compatibility, performance optimization, and adherence to security best practices.

AI Integrations Development:

  • Build and integrate AI-powered features into web applications and enterprise tools (intelligent search, document generation, chat interfaces, automated workflows)
  • Work with LLMs, embeddings, vector search, RAG pipelines, and prompt engineering to deliver natural language experiences
  • Integrate with AI/ML APIs and SDKs
  • Build backend services in Python and/or Node.js supporting AI workloads including data preprocessing, embedding generation, model inference
  • Review and refine AI-generated code for production quality, security, and architectural consistency
  • Evaluate AI models and approaches based on cost, latency, accuracy, and use case fit

C# Developer Core Stack (Primary)

  • Backend: .NET Core / ASP.NET Core
  • Database: Microsoft SQL Server, PostgreSQL
  • Frontend: Blazor, React, or Angular
  • Cloud C Mobile: Microsoft Azure, .NET MAUI
  • DevOps CI/CD: Azure DevOps, Kubernetes, Docker

Python Developer Core Stack

  • Backend: Python libraries and FastAPI
  • Database: PostgreSQL, MySQL, MongoDB
  • LLM: Hugging Face Transformers, OpenAI API
  • Embeddings: FAISS, SentenceTransformers
  • Data Processing: NumPy, Pandas
  • Deep Learning: PyTorch, TensorFlow

General Responsibilities:

  • Participate in on-call rotation to maintain the ticket queue.
  • Collaborate with cross-functional teams to gather requirements and deliver solutions aligned with business goals.
  • Write clean, maintainable, and well-documented code.
  • Perform debugging, testing, and deployment of developed solutions.
  • Stay updated with emerging technologies and best practices in web development and AI.

Deliverables:

  • Develop and maintain fully functional and tested web applications
  • Integrate AI capabilities to enhance performance and features.
  • Utilize DevOps pipelines and Azure cloud services for efficient deployment and management.
  • Documentation for developed features, APIs, and AI models.
  • Deployment-ready solutions with clear instructions for maintenance and scalability.