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Fastapi Developer Jobs in Florida (NOW HIRING)

Design and develop backend services using FastAPI, Kafka, PostgreSQL, and Docker. * Build and ... Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related ...

Syntricate Technologies is seeking a GCP Developer to enhance their backend systems and accelerate ... Develop and maintain RESTful APIs using Flask or FastAPI, ensuring effective communication between ...

Software Engineer, Connect

Miami, FL · On-site

$90 - $130/hr

Backend engineering experience in Python, with the ability to read and contribute to a FastAPI codebase. You do not need to be a Python expert, but you should not be starting from scratch

New

Strong Python engineering skills, including API and service design (e.g., FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema). * Understanding of Graph RAG data ...

Python Developer Full Time

Daytona Beach, FL

$48.25 - $66.50/hr

Python Developer Employment Type: Full Time Location: Nashville, California 32126 Work Arrangement ... Experience with web frameworks (Django, Flask, FastAPI) * Familiarity with cloud platforms (AWS ...

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Fastapi Developer information

See Florida salary details

$12

$39

$61

How much do fastapi developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for fastapi developer in Florida is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $48.32 per hour, depending on experience, location, and employer.

What is a FastAPI developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What are the key skills and qualifications needed to thrive as a FastAPI developer?

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the most commonly searched types of Fastapi Developer jobs in Florida?

The most popular types of Fastapi Developer jobs in Florida are:

What job categories do people searching Fastapi Developer jobs in Florida look for?

The top searched job categories for Fastapi Developer jobs in Florida are:

What cities in Florida are hiring for Fastapi Developer jobs?

Cities in Florida with the most Fastapi Developer job openings:

Infographic showing various Fastapi Developer job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $82,131 per year, or $39.5 per hour.

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Re-posted 13 days ago


Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIsAzure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows

job Description : 

Role: Backend Python Developer – AI/ML

Orlando preferable, Las Vegas possible (Onsite)

Required Skills & Experience:

  • 5+ years of experience as a Python backend developer
  • Solid hands-on experience with FastAPI, Flask, or Django REST frameworks
  • Strong knowledge of RESTful APIs, microservices, and asynchronous programming
  • Hands n Experience with Azure 
  • Experience integrating LLM APIs (OpenAI, HuggingFace Inference API, etc.) into real-world applications
  • Experience with AI agent frameworks such as LangChain, AutoGen, or Semantic Kernel
  • Proven ability to deploy containerized apps using Docker, including LLM inference services and agent-based tools
  • Familiarity with vector databases and RAG workflows
  • Exposure to cloud services (AWS, GCP, Azure) and CI/CD pipelines