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Fastapi Python Jobs in Washington, DC (NOW HIRING)

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Experience with popular Python frameworks such as Django and FastAPI. * 3+ years of experience with SQL, including complex query analysis and optimization. * 1-3 years of experience with relational ...

Senior AI/ML Software Engineer

Reston, VA · On-site

$146K - $234K/yr

FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL * A product mindset: you think about the end user, not just the technical implementation * Comfort operating with ...

FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL * A product mindset: you think about the end user, not just the technical implementation * Comfort operating with ...

FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL * A product mindset: you think about the end user, not just the technical implementation * Comfort operating with ...

FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL * A product mindset: you think about the end user, not just the technical implementation * Comfort operating with ...

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Experience with popular Python frameworks such as Django and FastAPI. * 5+ years of experience with SQL, including complex query analysis and optimization. * 3-5 years of experience with relational ...

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

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Experience with popular Python frameworks such as Django and FastAPI. * 5 years of experience with SQL, including complex query analysis and optimization. * 3-5 years of experience with relational ...

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Fastapi Python information

See Washington, DC salary details

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How much do fastapi python jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for fastapi python in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

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 are popular job titles related to Fastapi Python jobs in Washington, DC? For Fastapi Python jobs in Washington, DC, the most frequently searched job titles are:
Senior Python & Machine Learning Operations Engineer

Senior Python & Machine Learning Operations Engineer

Software Technology Inc

Washington, DC • On-site

Other

Posted 7 days ago


Job description

Senior Python/ML Operations Engineer

We are seeking a knowledgeable Senior Python/ML Operations Engineer with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team. Prerequisites for the selection of the Consultant encompass:

  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.