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Fastapi Jobs in Florida (NOW HIRING)

Geologics

Full Stack Software Engineer

Orlando, FL · On-site

$100/hr

Proficiency in React, Next.js, Node.js, Shadcn UI Kit, FastAPI, and modern front end ecosystems. * Experience with Apache Superset/Trino for cross platform data querying and analytics. * Strong ...

ShyftOff

Senior Full Stack Engineer

Tampa, FL · On-site

FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot, ChatGPT Why ShyftOff This is a chance to join a fast-growing startup building a category-defining ...

Geologics

Full Stack Software Engineer

Orlando, FL

$100/hr

Proficiency in React, Next.js, Node.js, Shadcn UI Kit, FastAPI, and modern front end ecosystems. * Experience with Apache Superset/Trino for cross platform data querying and analytics. * Strong ...

ShyftOff

Senior Full Stack Engineer

Tampa, FL

FastAPI Data : PostgreSQL Cloud: ECS, EC2, Lambda, RDS, S3 Tools: n8n, Cursor, Github Copilot, ChatGPT Why ShyftOff This is a chance to join a fast-growing startup building a category-defining ...

Kavaliro

Full Stack Engineer

Orlando, FL · On-site

Strong proficiency in Java (Spring Boot or similar) , Python (Flask, Django, or FastAPI) , and C/C++ for system-level development. * Solid understanding of RESTful APIs , microservices , and ...

L3HHCM20

Artificial Intelligence Specialist

Palm Bay, FL · On-site +1

$109K - $203K/yr

Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate) LLM ...

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Fastapi information

See Florida salary details

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$107.5K

$121.5K

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.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Posted 8 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Hartford, CT/Remote
Duration: 6 months
skill id: 10856066
We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. You will work on NLP/GenAI use cases such as classification, summarization, and retrieval-augmented generation (RAG), partnering with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Responsibilities
• Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
• Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
• Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
• Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
• Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
• Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD.
Required Qualifications
• 6+ years of overall experience in software development focusing on AI/ML engineering.
• 2+ years of hands-on experience with deep learning for NLP/GenAI.
• Strong Python proficiency, including writing production-quality, testable, maintainable code.
• Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
• Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
• Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.
Preferred Qualifications
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
• Experience with vector databases and embedding workflows (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
• Experience deploying and scaling ML/LLM workloads on cloud platforms (Azure preferred; GCP/AWS acceptable).
• Familiarity with agentic architectures and multi-agent patterns (e.g., AutoGen or similar).
• Healthcare domain knowledge and/or experience building solutions in regulated environments.
Standard Technical Skills
• MLOps & Deployment: Model packaging and serving, CI/CD, containers (Docker), orchestration (Kubernetes), experiment tracking (MLflow), model registry, monitoring/observability.
• LLM Evaluation: Offline/online evaluation, prompt/version management, automated testing, hallucination and factuality checks, retrieval evaluation, human-in-the-loop review.
• Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system design, performance optimization.
• Security & Compliance: Secure coding, secrets management, PII/PHI handling, access control; familiarity with responsible AI principles is a plus.

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