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Python Fastapi Developer Jobs in Orlando, FL (NOW HIRING)

TEEMA

Front End Developer

Orlando, FL · Remote

$155K - $160K/yr

Frontend Developer (Python / React) We're looking for a Frontend Developer who enjoys building ... Familiarity with FastAPI or other Python web frameworks. * Experience with spreadsheet-like UI ...

TEEMA Solutions Group

Front End Developer

Orlando, FL · On-site

$70 - $90/hr

We're looking for a Frontend Developer who enjoys building modern, intuitive web applications that ... Familiarity with FastAPI or other Python web frameworks. Experience with spreadsheet-like UI ...

Astronics

Senior Software Engineer (ATSO)

Orlando, FL · On-site

$114K - $150K/yr

Using MCP Server, React, Langchain, Python, OpenAI, and FastAPI for backend development. Requirements: Bachelor's degree in electrical engineering or closely related field plus seven (7) years of ...

Astronics

Senior Software Engineer (ATSO)

Orlando, FL · On-site

$106K - $140K/yr

Using MCP Server, React, Langchain, Python, OpenAI, and FastAPI for backend development. Requirements: Bachelor's degree in electrical engineering or closely related field plus seven (7) years of ...

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How much do python fastapi developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python fastapi developer in Orlando, FL is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $62.16 per hour, depending on experience, location, and employer.

What is a Python FastAPI developer?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are some typical daily tasks for a Python FastAPI developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

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

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

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Artificial Intelligence Engineer

Compunnel

Kissimmee, FL • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary
We are seeking an Artificial Intelligence Engineer with strong experience building production-grade Python services and multi-agent LLM systems. The ideal candidate will have expert-level knowledge of asynchronous Python, FastAPI/ASGI, LLMOps, agent evaluation, and Google Cloud/Vertex AI. This role will focus on building scalable AI solutions, implementing agent orchestration and guardrails, and supporting production-grade observability, evaluation, and deployment practices.
Key Responsibilities
• Build and maintain production-grade Python services using asynchronous Python, FastAPI, and ASGI.
• Design, develop, and deploy multi-agent LLM systems using technologies such as Google ADK, LangGraph, A2A, or comparable frameworks.
• Implement agent tool use, orchestration, workflows, guardrails, and production-ready AI capabilities.
• Develop and maintain LLMOps and agent evaluation processes using tools such as Phoenix/Arize, Vertex AI evaluation, and OpenTelemetry tracing.
• Define and monitor AI quality, safety, performance, and evaluation metrics.
• Design and implement AI solutions using Google Cloud Platform and Vertex AI, including search, retrieval, and model serving.
• Develop prompt engineering strategies and structured-output schemas using Pydantic.
• Build and support containerized services and production deployment environments.
• Develop and maintain CI/CD pipelines using Harness or similar platforms.
• Implement observability solutions for AI and cloud-native services at scale.
• Design and implement RAG and vector search solutions as needed.
• Support scalable MySQL database implementations and enterprise authentication using OAuth2 and scopes.
• Contribute to MLOps experiment tracking and AI application lifecycle management.
• Collaborate with engineering and architecture teams to define scalable and maintainable AI solutions.
• Mentor engineers and contribute to technical architecture and engineering best practices.
• Support modernization initiatives involving reactive technologies, including Java, Spring WebFlux, Project Reactor, and reactive programming patterns.
Required Qualifications
• Production experience building Python services.
• Expert-level experience with asynchronous Python and FastAPI/ASGI.
• Hands-on experience building multi-agent LLM systems using Google ADK, LangGraph, A2A, or comparable technologies.
• Experience implementing LLM agent tool use, orchestration, and guardrails.
• Proven experience with LLMOps and agent evaluation.
• Experience with Phoenix/Arize, Vertex AI evaluation, OpenTelemetry tracing, or comparable evaluation and observability technologies.
• Strong experience with Google Cloud Platform and Vertex AI, including search, retrieval, and model serving.
• Production experience with containerized services.
• Experience with CI/CD platforms such as Harness or similar tools.
• Strong understanding of observability practices for production-scale services.
• Experience with prompt engineering and structured-output/schema design using Pydantic.
• Strong understanding of AI/ML application development and production deployment.
Preferred Qualifications
• Experience with RAG and vector search technologies.
• Experience working with MySQL at scale.
• Experience with enterprise authentication, including OAuth2 and scopes.
• Experience with MLOps experiment tracking.
• Experience with Java, Reactor, and reactive programming.
• Experience with Spring WebFlux and Project Reactor.
• Experience modernizing legacy Java applications and transitioning from traditional Spring Framework architectures to reactive microservices.
• Experience mentoring engineering teams and providing architecture-level technical leadership.
• Experience working in principal-level engineering or architecture roles.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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