1

Fastapi Jobs in Arizona (NOW HIRING)

... REST APIs / FastAPI · SQL and database fundamentals · Git/GitHub · Linux · Docker · Cloud platforms: AWS / Azure / Google Cloud Platform · Familiarity with PyTorch or TensorFlow · ...

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Experience with modern web frameworks (e.g., Django, Flask, FastAPI, React, Angular, or Vue) * Familiarity with RESTful API design, development, and integration * Understanding of front-end ...

.Net FSD

Phoenix, AZ · On-site

$110K - $125K/yr

NET based development team) • React and modern JavaScript/TypeScript frameworks for front end • API development using FastAPI, Node.js, or .NET Web API (as referenced in WAB full stack JD) • ...

Lead Gen AI Engineer with Python

Phoenix, AZ · On-site

$139K - $170K/yr

Experience developing APIs using FastAPI, Flask, or Django. Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). Preferred Skills Experience with AI evaluation ...

Sr. Full Stack Engineer

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain scalable full stack applications using Python (FastAPI) and React.js/TypeScript. * Own the architecture of one or more product domains, including API design, data modeling ...

Flask, FastAPI, Hugging Face, Triton Inference Server * pgVector, Milvus, Prometheus, Elasticsearch, Kibana * CI/CD: Jenkins, GitLab CI, XL Release Location & Work Model Phoenix, AZ - Hybrid (3 days ...

Experience developing APIs using FastAPI, Flask, or Django. Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). Preferred Skills Experience with AI evaluation ...

Sr. Full Stack Engineer

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, build, and maintain scalable full stack applications using Python (FastAPI) and React.js/TypeScript. * Own the architecture of one or more product domains, including API design, data modeling ...

Lead Gen AI Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

... using FastAPI, Flask, or Django. - Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP). **Preferred Skills** - Experience with AI evaluation frameworks ...

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Experience building APIs using frameworks such as FastAPI * Experience with REST APIs, asynchronous processing, event-driven architecture, and microservices * Understanding of MCP and its use in ...

New

Spring/SpringBoot, FastAPI Front End Technologies: Angular/React Deployment Technologies: Kubernetes, Docker Source Control: GitHub, Azure DevOps CICD: GitHub Actions, Azure DevOps Data management:

Tailwind CSS * Back-end: Python (FastAPI/Flask) or Node.js * Databases: PostgreSQL, and Vector DBs like Pinecone, Weaviate, or Chroma. Familiarity with * AI/ML: LangChain, LlamaIndex, OpenAI SDK, and ...

Showing results 21-40

Fastapi information

See Arizona salary details

$116K

$131.1K

$148.1K

How much do fastapi jobs pay per year?

As of Aug 20, 2026, the average yearly pay for fastapi in Arizona is $131,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,272.00 and $135,922.00 per year, depending on experience, location, and employer.

What is a FastAPI?

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.

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 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 most commonly searched types of Fastapi jobs in Arizona?

The most popular types of Fastapi jobs in Arizona are:

Infographic showing various Fastapi job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, 2% Temporary, and 6% Contract. Highlights an 73% Physical, 9% Hybrid, and 18% Remote job distribution, with an average salary of $131,068 per year, or $63 per hour.

Junior AI Engineer

Synergie Systems

Phoenix, AZ • On-site

Other

Posted 7 days ago


Job description

Job Title: Junior AI Engineer

Location: Phoenix, AZ

Job Type: Only W2

Job Description:

·       Develop and deploy AI/ML models for business applications.

·       Build Generative AI and LLM-based applications using models such as GPT, Claude, Gemini, or open-source LLMs.

·       Develop RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.

·       Design AI agents, intelligent automation, and AI-powered workflows.

·       Prepare, clean, transform, and analyze datasets for model development.

·       Develop APIs and backend services for AI applications.

·       Fine-tune, evaluate, and optimize machine-learning/LLM models when appropriate.

·       Implement model monitoring, evaluation, security, and performance optimization.

·       Deploy AI applications using AWS, Azure, or Google Cloud.

·       Use Docker, Kubernetes, CI/CD, and MLOps practices for production deployment.

·       Collaborate with software engineers, data scientists, product managers, and business stakeholders.

·       Troubleshoot model, application, data, and production issues.

Technical Skills:

·       Python — strong proficiency

·       Machine Learning and Deep Learning

·       Generative AI / LLMs

·       Prompt engineering and LLM evaluation

·       RAG and vector databases

·       REST APIs / FastAPI

·       SQL and database fundamentals

·       Git/GitHub

·       Linux

·       Docker

·       Cloud platforms: AWS / Azure / Google Cloud Platform

·       Familiarity with PyTorch or TensorFlow

·       Understanding of NLP and/or computer vision

·       Basic MLOps and CI/CD concepts