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Remote Fastapi Jobs in West Virginia (NOW HIRING)

$150K - $180K/yr

Integrate AI services into full-stack solutions using frameworks like LangChain, FastAPI, or Azure ... Excellent communication and teamwork skills, with the ability to work effectively in a remote ...

Remote Fastapi information

What is the difference between Remote Fastapi vs Remote Django Developer?

AspectRemote FastapiRemote Django Developer
Required CredentialsPython, REST API, async programmingPython, Django framework, REST API
Work EnvironmentBackend API development, microservicesFull-stack or backend web development
Industry UsageTech startups, SaaS, microservices architectureWeb applications, content management systems
Search & Comparison IntentYesYes

Remote Fastapi and Remote Django Developer roles both involve Python development but focus on different frameworks. Fastapi is optimized for high-performance APIs and microservices, while Django offers a comprehensive web framework suitable for full-stack applications. The choice depends on project requirements and preferred tech stacks.

What are the most commonly searched types of Fastapi jobs in West Virginia?

The most popular types of Fastapi jobs in West Virginia are:

What are popular job titles related to Remote Fastapi jobs in West Virginia?

For Remote Fastapi jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Fastapi jobs in West Virginia look for?

The top searched job categories for Remote Fastapi jobs in West Virginia are:

Web Developer with AI Experience

Tier4 Group

Charleston, WV • Remote

Contractor

Posted 8 days ago


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.