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Fastapi Python Jobs in Virginia (NOW HIRING)

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 ...

Demonstrated experience in full stack web application software development using Vue (Javascript), FastAPI (Python), and PostgreSQL (managed Amazon Web Service (AWS) Relational Database Service (RDS)

Cloud Solutions Architect

Mclean, VA · On-site

$64.25 - $88/hr

Demonstrated experience in full stack web application software development using Vue (Javascript), FastAPI (Python), and PostgreSQL (managed Amazon Web Service (AWS) Relational Database Service (RDS)

Demonstrated experience in full stack web application software development using Vue (Javascript), FastAPI (Python), and PostgreSQL (managed Amazon Web Service (AWS) Relational Database Service (RDS)

Cloud Solutions Architect

Mclean, VA · On-site

$64.25 - $88/hr

Demonstrated experience in full stack web application software development using Vue (Javascript), FastAPI (Python), and PostgreSQL (managed Amazon Web Service (AWS) Relational Database Service (RDS)

Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). * Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React ...

Showing results 41-60

Fastapi Python information

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What cities in Virginia are hiring for Fastapi Python jobs? Cities in Virginia with the most Fastapi Python job openings:
Infographic showing various Fastapi Python job openings in Virginia as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.

AI/ML Engineer

1 point system

Reston, VA • On-site

Contractor

Re-posted 17 days ago


Job description

Must Have Skills: 

  • Core Responsibilities (AI/ML, Python, AWS, GenAI)
  • Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
  • Build and maintain cloud‑native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
  • Develop high‑performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
  • Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection).
  • Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure‑as‑code (Terraform/CloudFormation) for reliable, automated deployments.
  • Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.