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Fastapi Programmer Jobs in Florida (NOW HIRING)

Python Developer (Only W2)

Jacksonville, FL · On-site

$46.50 - $64.25/hr

Python, Django, Flask, or FastAPI Location: PENNINGTON, New Jersey / JACKSONVILLE, Florida We are looking for a skilled Full Stack Python Developer to join our team. The ideal candidate will be ...

New

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 ...

Full Stack Developer (Python + React + Azure) Location: Miami, FL (Onsite) Experience 10+ Years ... Design and build scalable backend services using Python (FastAPI, Flask, Django) and .NET (C#) for ...

New

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 ...

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Fastapi Programmer information

What cities in Florida are hiring for Fastapi Programmer jobs? Cities in Florida with the most Fastapi Programmer job openings:
Backend Python Developer - AI/ML

Backend Python Developer - AI/ML

Snowrelic Inc

Orlando, FL • On-site

Full-time

Posted 25 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