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Python Fastapi Developer Jobs in Virginia (NOW HIRING)

Technology Ventures

Senior GenAI Engineer

Reston, VA

$108K - $149K/yr

... modern DevOps practices . This role involves building end-to-end AI systems that integrate with ... Build scalable backend services using Python, FastAPI, and Pydantic . Develop and deploy LLM ...

New

Cornerstone Defense

Python Developer

Chantilly, VA · On-site

$51.50 - $71/hr

Job #3456 Python Developer: w orks as part of a team to implement functionality as part of multiple ... Experience with API development in Python using Python libraries such as FastAPI * Experience with ...

JTEC Consulting

Python Developer (Mid-Senior)

Chantilly, VA · On-site

$150K - $175K/yr

Qualified candidates will have experience developing microservices in Python using FastAPI. Working ... Programming experience using Python, Java, Perl, C, C++ * Experience with ELK Stack (Elasticsearch ...

WorkNova LLC

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AWS Reston, VA, 3 days onsite in a week Need to go for F2F interview ... or FastAPI • Knowledge of authentication and authorization mechanisms (JWT, OAuth2) • ...

NT Concepts

Python Developer

Herndon, VA · On-site +1

$51.75 - $71.25/hr

We are seeking a Software Developer to join our team. Working at NT Concepts means that you are ... Experience designing and implementing RESTful APIs using Python frameworks (FastAPI, Flask, Django)

NT Concepts

Python Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

We are seeking a Software Developer to join our team. Working at NT Concepts means that you are ... Experience designing and implementing RESTful APIs using Python frameworks (FastAPI, Flask, Django)

ICONMA

Senior Python Developer

Mclean, VA · On-site

$123K - $165K/yr

Experience with popular Python frameworks such as Django and FastAPI. • 5+ years of experience ... with DevOps, technical teams, business stakeholders, and external vendors. • Demonstrated ...

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Python Fastapi Developer information

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Virginia? For Python Fastapi Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Fastapi Developer jobs in Virginia look for? The top searched job categories for Python Fastapi Developer jobs in Virginia are:
What cities in Virginia are hiring for Python Fastapi Developer jobs? Cities in Virginia with the most Python Fastapi Developer job openings:
Python Fastapi Developer jobs near you
Senior GenAI Engineer

Senior GenAI Engineer

Technology Ventures

Reston, VA

$108K - $149K/yr

Other

Posted 2 days ago

Job description

Job Title : Senior GenAI Engineer

Location : 3 days onsite / week Reston Town Center, Reston, VA USA 20190 Duration : 12 months Contract to start

Senior Full Stack GenAI Engineer with 10+ years of experience to design and build agentic AI solutions that automate enterprise workloads and business processes.
The ideal candidate will have strong expertise in Python-based backend development, LLM-powered applications, cloud-native deployment, vector databases, and modern DevOps practices. This role involves building end-to-end AI systems that integrate with enterprise platforms, automate workflows, and deliver production-grade AI applications.
Key Responsibilities
Design and develop agentic AI applications that automate enterprise workflows and decision-making processes.
Build scalable backend services using Python, FastAPI, and Pydantic.
Develop and deploy LLM-powered applications using models such as GPT and Claude.
Build AI agents and orchestration workflows using LangChain or Strands.
Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate).
Perform data analysis, preparation, and curation to build high-quality datasets for AI and knowledge retrieval systems.
Design and implement document ingestion pipelines for enterprise knowledge sources such as SharePoint, Confluence, and Jira.
Deploy AI workloads on AWS (Bedrock, ECS Fargate, S3) with proper security and scalability practices.
Develop and integrate enterprise APIs using REST, GraphQL, WebSockets, and web services.
Implement secure authentication and authorization using Ping Identity, OAuth2, OIDC, and SSO.
Build user interfaces for AI applications using ReactJS or Streamlit.
Required Skills
Backend & APIs
Python
FastAPI
Pydantic
REST APIs, GraphQL, WebSockets

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