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Python Fastapi Developer Jobs in Arizona (NOW HIRING)

Tailwind CSS * Back-end: Python (FastAPI/Flask) or Node.js. * AI/ML: LangChain, LlamaIndex, OpenAI ... of DevOps Tools (CI/CD, Terraform, JIRA, Confluence) KEY OUTPUTS * Application Proof of Concepts ...

Technical Architect

Tempe, AZ · On-site

$64.50 - $77.75/hr

Architect scalable, cloud-native, and event-driven backend ecosystems using Python (FastAPI) and AWS-native services. Establish architecture standards, governance models, engineering principles, and ...

Description Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our ... Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers ...

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Python Fastapi Developer information

What is a Python FastAPI Developer job?

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 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.

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 job categories do people searching Python Fastapi Developer jobs in Arizona look for? The top searched job categories for Python Fastapi Developer jobs in Arizona are:
What cities in Arizona are hiring for Python Fastapi Developer jobs? Cities in Arizona with the most Python Fastapi Developer job openings:
Infographic showing various Python Fastapi Developer job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Fullstack AI Engineer

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Re-posted 19 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Enables tight integration between application layers and machine learning models This role is responsible for building both the "brain" (AI models/logic) and the "body" (user interface and APIs) of an application, ensuring that AI features are not just functional but seamlessly interconnected into the user experience.

The AI Full Stack Developer operates across the full application stack, bridging model development and application production deployment, with an emphasis on scalability, integration, and usability.

  • End-to-End Development: Building responsive front-end interfaces that interact with sophisticated AI back-end, MCP Fulfilment Servers and Knowledge Management System
  • AI Integration: Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources.
  • API Design: Creating the bridges (REST/GraphQL) that allow front-end components to communicate with ML models.
  • Product Realization: Taking a raw AI model and turning it into a polished, user-facing software product.
  • Participate in cross-functional brainstorming, strategic planning and business review sessions
  • Oversee best practices implemented during the entire DevOps/MLOps LifeCycle
  • Managed Resources like Code Repositories, API Optimization, Cloud Resources, CI/CD and Data Pipeline

NATURE OF PROBLEMS ENCOUNTERED

  • Latency Management: Solving the "slow AI" problem-ensuring users aren't left waiting while a model processes a complex request.
  • Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs provided by a user.
  • State Management: Handling the complex states of an AI conversation (memory, context windows, and history).
  • Intermittent Failures: Debugging non-deterministic errors where an AI model provides a different (or wrong) output for the same input.

REQUIREMENTS

Technical Stack

  • Front-end: React.js, Next.js, or Vue.js; Tailwind CSS
  • Back-end: Python (FastAPI/Flask) or Node.js.
  • AI/ML: LangChain, LlamaIndex, OpenAI SDK, and basic knowledge of PyTorch/TensorFlow.
  • Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma.
  • Cloud Infrastructure: Google Kubernetes Engine, Cloud Functions, DFCX

Experience: 3-5 years in Full Stack Development with at least 1-2 years specifically focused on AI-integrated products.

Education: Bachelor's degree in Computer Science or Software Engineering.

More than 3-year experience on IT and Telco industry

At least 3-year experience in implementing Web/Mobile App Projects

At least 3-year experience in coordinating and managing vendors

At least 1-year experience in Testing Automation

Basic knowledge on project management discipline

Basic knowledge of DevOps Tools (CI/CD, Terraform, JIRA, Confluence)

KEY OUTPUTS

  • Application Proof of Concepts and Prototypes that will improve customer experience through AI features and capabilities
  • Functional AI Web Applications: Production-ready applications where AI is a core feature (e.g., an intelligent dashboard or an AI-driven SaaS tool).
  • Integrated API Layers: Scalable middleware that handles prompt engineering, token management, and model inference.
  • Responsive UI/UX: User interfaces specifically designed for AI interactions (e.g., streaming text responses, multimodal inputs, and feedback loops).
  • Optimized Vector Databases: Efficiently indexed data storage for fast context retrieval in AI applications.
  • Technical Documentation: Comprehensive guides for the application's architecture, including API schemas and deployment procedures.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.