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Python Fastapi Flask Django Jobs (NOW HIRING)

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have) We are building ... Experience with FastAPI, Flask, Django or similar web frameworks. Solid understanding of APIs (REST ...

Photon

Python AI Agent Developer - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have) We are building ... Experience with FastAPI, Flask, Django or similar web frameworks. Solid understanding of APIs (REST ...

Agama Solutions Inc.

Python Gen AI developer

Irving, TX · On-site

$48.25 - $66.50/hr

Strong hands-on expertise in Python, FastAPI, Flask, REST APIs, and microservices development. * Experience designing distributed, event-driven systems and asynchronous architectures. * Experience ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role ... Develop web-based AI applications using frameworks like Flask, FastAPI, or Django. * Implement LLM ...

Machine Intelligence Technologies, LLC

$37 - $51/hr

Proven experience with fullstack Python development (FastAPI, Flask, Django, React/Vue/Angular, SQL/NoSQL databases). * Hands-on experience building and integrating AI agents (LLMs, RAG, multi-agent ...

Veryfi

Senior Python Engineer

San Mateo, CA · On-site

$138K - $186K/yr

The role involves building modern web applications using Python frameworks such as Flask and Django, with an emphasis on code readability and best practices in software development. Responsibilities ...

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How much do python fastapi flask django jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python fastapi flask django in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are Python FastAPI, Flask, and Django?

Python FastAPI, Flask, and Django are popular web frameworks used for building web applications and APIs in Python. Flask is a lightweight, micro web framework that's easy to get started with and highly extensible. Django is a high-level, full-stack framework that provides many built-in features for rapid development, including an ORM and admin panel. FastAPI is a modern, fast (high-performance) framework designed for building APIs with automatic documentation and support for asynchronous programming. Each framework has its strengths, and the choice depends on the project's specific requirements.

How do Python developers balance working with multiple frameworks like FastAPI, Flask, and Django?

Python developers often encounter projects where they need to use or maintain applications built with different frameworks such as FastAPI, Flask, and Django. Balancing these requires a solid understanding of each framework's strengths and typical use cases—for example, using Django for full-stack, feature-rich applications, Flask for lightweight APIs, and FastAPI for high-performance asynchronous services. Developers frequently collaborate with other team members to integrate microservices, ensure consistent coding standards, and manage dependencies. Staying organized, documenting decisions, and participating in regular team discussions help manage the complexity and facilitate smooth handoffs between frameworks.

What are the key skills and qualifications needed to thrive as a Python web developer specializing in FastAPI, Flask, and Django?

To excel as a Python web developer with FastAPI, Flask, and Django, you need strong Python programming skills, experience with web frameworks, and a solid understanding of RESTful API design and database management. Familiarity with tools like Git, Docker, SQL/NoSQL databases, and proficiency in deploying applications on cloud platforms is common, while certifications in Python or cloud technologies can be beneficial. Excellent problem-solving, communication, and teamwork skills help developers collaborate effectively and adapt to changing requirements. These competencies ensure the delivery of robust, scalable, and maintainable web applications that meet business needs.

What is the difference between Python Fastapi Flask Django vs Java Spring Boot?

FeaturePython Fastapi Flask DjangoJava Spring Boot
Primary LanguagePythonJava
Use CasesWeb APIs, MicroservicesEnterprise Web Applications
Framework TypeLightweight, flexibleFull-stack, comprehensive
Community & Industry UsageGrowing in startups & tech companiesWidely used in large enterprises

Python Fastapi Flask Django are popular Python frameworks for building web APIs and microservices, known for simplicity and speed. Java Spring Boot is a robust framework for enterprise applications, offering extensive features and scalability. While Fastapi, Flask, and Django focus on Python's ease of use, Spring Boot provides a comprehensive Java-based solution for large-scale projects.

What other helpful pages are available for Python Fastapi Flask Django?

Other pages related to Python Fastapi Flask Django:

Python AI Agent Developer - Dallas, TX

Dallas, TX • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

$49.75 - $68.50/hr

Full-time

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

Job description


Python Developer 3 to 4 Years (Framework Development & Agentic AI nice to have)
We are building next-generation intelligent systems powered by AI and automation. Our team is looking for a skilled Python Developer with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.
Key Responsibilities:
Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
Implement best practices in software engineering: OOP, design patterns, modular architecture.
Develop APIs and SDKs for framework adoption across teams.
Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
Ensure security, reliability, and observability of framework components.
Write unit/integration tests and maintain CI/CD pipelines.
Document frameworks, APIs, and libraries for developer adoption.
Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
Required Skills & Experience:
Strong proficiency in Python (3.x), with focus on OOP and modular design.
Proven experience in building frameworks, libraries, or SDKs (not just applications).
Expertise in design patterns, dependency injection, and plugin-based architectures.
Experience with FastAPI, Flask, Django or similar web frameworks.
Solid understanding of APIs (REST, GraphQL) and API gateway integration.
Knowledge of async programming (asyncio, aiohttp).
Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
Strong grasp of security practices (OAuth2, JWT, IAM integration).
Familiarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.
Nice to Have:
Experience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen).
Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
Contributions to open-source Python frameworks or libraries.
Ideal Candidate:
A framework builder mindset - you enjoy designing systems other developers will use.
Passionate about AI and automation, eager to experiment with agent-driven architectures.

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