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Fastapi Python Jobs in Germantown, MD (NOW HIRING)

Python Integration Developer

Hanover, MD · On-site +1

$50 - $69/hr

Strong hands-on experience with building APIs with Python using FLASK or FASTAPI Frameworks. * Strong experience building/consuming REST APIs and Orchestrations working with AWS/Azure services like ...

Python API Developer - SWE0

Annapolis Junction, MD · On-site

$51.25 - $70.75/hr

... Python in FastAPI, Flask, or Django REST  • Knowledge designing, building, and scaling ... production APIs  • Strong analytical, problem-solving, and collaborative mindset  Why Join ...

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 ...

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Looking for a Senior Python Developer with good experience in developing MicroServices using popular Python frameworks such as Pandas, Django and FastAPI. Need someone with experience using Git for ...

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

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)

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Fastapi Python information

See Germantown, MD salary details

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How much do fastapi python jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for fastapi python in Germantown, MD is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.31 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 job categories do people searching Fastapi Python jobs in Germantown, MD look for? The top searched job categories for Fastapi Python jobs in Germantown, MD are:
What cities near Germantown, MD are hiring for Fastapi Python jobs? Cities near Germantown, MD with the most Fastapi Python job openings:
Full Stack Python Developer - Herndon, VA. Must have an active Secret Security Clearance

Full Stack Python Developer - Herndon, VA. Must have an active Secret Security Clearance

Navitas Business Consulting Inc

Herndon, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Position Title: Full Stack Python Developer 
Job ID#: 26-1106
Clearance: Secret 
Location: Herndon, VA

What You’ll Do:
Navitas is seeking a Full Stack Python Developer to build and scale user-facing and backend applications that power AI/ML capabilities for the DoD Search Portfolio.
You will develop secure, cloud-native web services and UI experiences that integrate with LLM/RAG and semantic search pipelines. This role partners closely with ML engineers and data teams to productionize models through robust APIs, workflows, and operational tooling. You will help deliver mission-ready solutions that handle large-scale datasets with strong performance, reliability, and traceability.
The ideal candidate thrives in fast-paced environments and enjoys building end-to-end systems that make AI usable for real users.

Responsibilities will include but are not limited to:

  • Support CI/CD and DevOps practices (containerization, deployment automation, monitoring/alerting) to ensure stable releases and operational readiness.

  • Apply best practices for security, logging, auditing, and compliance aligned with federal/DoD standards across services and environments.

  • 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 support search workflows, semantic retrieval, and results visualization for enterprise users.

  • Integrate backend services with Databricks/Spark pipelines and ML workflows to enable scalable inference, data processing, and batch/stream execution.

  • Implement and maintain integrations with Elasticsearch (search/indexing) and Neo4j (graph/relationship-driven experiences) to enhance relevance and discovery.

  • Collaborate with ML Engineers to productionize LLM/RAG-based features, including prompt/inference orchestration, embeddings services, and retrieval workflows.

  • Create clear technical documentation and communicate design decisions, trade-offs, and implementation approaches to both technical and non-technical stakeholders.

What You’ll Need:

  • Bachelor’s degree (or equivalent experience) with 5+ years in software engineering focused on Python and web application development.

  • Must have: Strong hands-on experience building Python APIs/services (Flask/FastAPI preferred) and integrating with databases, search platforms, and external systems.

  • Experience developing full stack applications using modern front-end frameworks (React/Angular/Vue) plus strong API design skills.

  • Familiarity with AI/ML concepts and integrations (LLMs, embeddings, semantic search, RAG workflows) and working closely with data/ML teams.

  • Must have: Working experience with cloud-native delivery (Docker/Kubernetes), CI/CD, Git-based workflows, and performance/reliability best practices; Databricks/Spark experience required.