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Senior Fastapi Developer Jobs in Washington (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 ...

Scalence L.L.C.

Front End Web Developer Senior

Mclean, VA · On-site

$116K - $153K/yr

L.C. is looking for a Senior Front End Web Developer to join their dynamic Engineering team. In ... services (Python/FastAPI) and data sources (Snowflake). • Convert product requirements ...

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BTree Solutions, Inc.

SR. FRONTEND DEVELOPER

Mclean, VA · On-site

$116K - $153K/yr

Job Title: SR. FRONTEND DEVELOPER Location: Mclean,VA Duration: 12+ Months Visa: USC, GC, H1B and ... Integrate front-end applications with backend services (built with Python/FastAPI) and data sources ...

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Senior Fastapi Developer information

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

What are the key skills and qualifications needed to thrive as a Senior FastAPI Developer, and why are they important?

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.
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Senior Fastapi Developer jobs near you
Senior GenAI Engineer

Senior GenAI Engineer

Technology Ventures

Reston, VA

$108K - $149K/yr

Other

Posted 3 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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