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Fastapi Jobs in Florida (NOW HIRING)

Arkhya Tech

Python Full Stack Developer

Miami, FL · On-site

Design and build scalable backend services using Python (FastAPI, Flask, Django) and .NET (C#) for property, mortgage, and investment workflows * Build and integrate RESTful APIs, adapters, and ...

Wipro Limited

AI LEAD L1

Tampa, FL · On-site

$60K - $135K/yr

The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design ...

Wipro Limited

AI LEAD L1

Tampa, FL · On-site

$60K - $135K/yr

The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design ...

CS Solutions, Inc.

Python Backend Developer

Miami, FL · On-site

Design and develop scalable, production-grade backend services using Python frameworks (FastAPI / Flask / Django) * Architect, build, and integrate RESTful APIs and backend microservices with strong ...

Pyramid Consulting, Inc.

AI/ML Engineer

Sunrise, FL · On-site

$50 - $54/hr

Looking for candidates who can build APIs around AI/ML solutions using Flask or FastAPI. * Database experience needed (SQL and ideally NoSQL) to support AI-driven applications. * Agile/Scrum ...

Dexian

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Strong hands-on experience with FastAPI, Microservices Architecture, and ASGI servers such as Uvicorn. * Experience with CI/CD pipelines, Docker image creation, deployment pipelines, and ...

New

Dexian

Python Developer with AI

Tampa, FL · On-site

$45.75 - $63/hr

Python Frameworks (Django, Flask, FastAPI etc.) * Software Architecture & Design * SDLC (Software Development Life Cycle) * Code Reviews & Best Practices * System Design & Scalability * Performance ...

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$107.5K

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How much do fastapi jobs pay per year?

As of Jul 10, 2026, the average yearly pay for fastapi in Florida is $107,540.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,964.00 and $111,523.00 per year, depending on experience, location, and employer.

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

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

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Florida? The most popular types of Fastapi jobs in Florida are:
What are popular job titles related to Fastapi jobs in Florida? For Fastapi jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Florida look for? The top searched job categories for Fastapi jobs in Florida are:
Fastapi jobs near you
Infographic showing various Fastapi job openings in Florida as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $107,540 per year, or $51.7 per hour.

Lead AI/ML Engineer

Futran Tech Solutions Pvt. Ltd.

Tampa, FL • On-site

$96K - $127K/yr

Full-time

Posted 4 days ago

Job description

Role - AI/ML Lead
Location: Dallas TX/Tampa FL/Jersey City NJ (Hybrid 3 Days WFO)
Job type: Contract
Job Description:
  • We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities:
  • Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
  • Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
  • Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
  • Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
  • Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
  • Conduct performance tuning and optimization of AI models and APIs.
  • Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications
  • 8+ years of professional experience in software development and system design.
  • Strong proficiency in Python and experience with FastAPI for API development.
  • Hands-on experience with Generative AI frameworks and RAG architectures.
  • Solid understanding of system and architecture design principles for distributed applications.
  • Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
  • Familiarity with vector databases, embedding models, and retrieval pipelines.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications
  • Experience with LLM fine-tuning, prompt engineering, and model evaluation.
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Exposure to CI/CD pipelines and DevOps practices.

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