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Fastapi Jobs in Virginia (NOW HIRING)

Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems. * Build full stack features (UI + API) that ...

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

Capable of developing prototype solutions using common tools (e.g., FastAPI, React) * Familiar with generative AI concepts like RAG, prompt engineering, agents, structured output, multi-modal LLMs ...

Develop high‑performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real‑time analytics. * Architect and operationalize RAG pipelines, embeddings ...

Design and develop Python backend services and REST APIs (e.g., Flask/FastAPI) to expose AI/ML and search capabilities to applications and mission systems. * Build full stack features (UI + API) that ...

Develop high‑performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real‑time analytics. Architect and operationalize RAG pipelines, embeddings ...

Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real-time analytics. Architect and operationalize RAG pipelines, embeddings ...

Develop high-performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real-time analytics. Architect and operationalize RAG pipelines, embeddings ...

Python Developer (McLean)

Mclean, VA · On-site

$51 - $70.25/hr

Implement data processing, automation, and backend logic using Python frameworks (Flask, FastAPI, Django). * Integrate applications with databases (SQL/NoSQL), message queues, and third-party APIs.

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Fastapi information

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Virginia? The most popular types of Fastapi jobs in Virginia are:
What job categories do people searching Fastapi jobs in Virginia look for? The top searched job categories for Fastapi jobs in Virginia are:
Infographic showing various Fastapi job openings in Virginia as of July 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.
Gen AI Developer with Python for Reston VA

Gen AI Developer with Python for Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

$52.25 - $72/hr

Other

Re-posted 10 days ago


Job description

ROLE: AWS Python + Gen AI Developer
Location- Reston, VA - Day one onsite
Technical Skills:
  • 10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
  • Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
  • Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
  • Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
  • Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with RESTful APIs and integration of AI/ML solutions.
  • Strong debugging and problem-solving skills in production environments.
  • Soft Skills:
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and manage competing priorities.