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Fastapi Developer Jobs in Florida (NOW HIRING)

Wipro Limited

DEVELOPER L4

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 ...

The Josef Group

DevOps Engineer

Sarasota, FL · On-site

$50.75 - $69.75/hr

Experience working with Python web frameworks (FastAPI, Flask, etc.) DevOps & CI/CD * Experience with Agile workflows (Jira, sprints) * Hands-on experience creating and maintaining CI/CD pipelines ...

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Tampa, FL · On-site

$96K - $127K/yr

... 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 ...

Futran Tech Solutions Pvt. Ltd.

Lead AI/ML Engineer

Tampa, FL · Hybrid

$93K - $122K/yr

... 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 ...

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Fastapi Developer information

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$12

$39

$61

How much do fastapi developer jobs pay per hour?

As of Jun 9, 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 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 key skills and qualifications needed to thrive as a FastAPI Developer, and why are they important?

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 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 most commonly searched types of Fastapi Developer jobs in Florida? The most popular types of Fastapi Developer jobs in Florida are:
What are popular job titles related to Fastapi Developer jobs in Florida? For Fastapi Developer jobs in Florida, the most frequently searched job titles 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:
Fastapi Developer jobs near you
Infographic showing various Fastapi Developer job openings in Florida as of June 2026, with employment types broken down into 77% Full Time, 12% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,131 per year, or $39.5 per hour.
Backend Python Developer - AI/ML

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Posted 17 days ago

Job description

Job : Backend Python Developer – AI/ML

Location : Orlando preferable, Las Vegas

Skills : Python backend developer, FastAPI, RESTful APIs, Azure, 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