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Fastapi Jobs in Arizona (NOW HIRING)

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113.70K - $136.50K/yr

Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino Worksite: One Norterra Drive, Phoenix, AZ 85085 Relocation assistance is Not Available for ...

Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow state management and audit logging of agent ...

AI/ML Engineer II

Phoenix, AZ · On-site

$116.10K - $139.40K/yr

Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino Worksite: One Norterra Drive, Phoenix, AZ 85085 Relocation assistance is Not Available for ...

... FastAPI endpoints for applications - Understanding AI techniques enhancing LLMs - Experience in prompt engineering for LLM outputs - Developing scalable data storage solutions using cloud services ...

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$116K

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How much do fastapi jobs pay per year?

As of May 30, 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 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.

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 are the most commonly searched types of Fastapi jobs in Arizona? The most popular types of Fastapi jobs in Arizona are:
AI/ML Engineer II

AI/ML Engineer II

USAA

Phoenix, AZ • On-site, Remote

$113.70K - $136.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 250 frontline employees who took The Breakroom Quiz

36th of 141 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

Employer: United Services Automobile Association

Tasks: Contribute to the development, testing, implementation, and integration of processes with business applications that utilize machine learning model predictions and classifications to inform or drive business activities. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards. Adhere to and applies ML development standards and coding best practices. Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Assist with designing and writing test scripts to verify data integrity and application of functionality. Review functionality of existing test scripts for understanding. Develop familiarity of machine learning engineering best practices by participating in trainings, reviewing documentation, and reading code from existing solutions. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders, including AWS, GCP, graph databases. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. May allow for partial telecommute.

Requirements: Will accept a Bachelor's degree in Computer Science, Computer Software, Computer Engineering, Information Technology, Applied Sciences, Mathematics, Physics, or related field followed by 2 years of work experience in job offered or in a related occupation. Position requires:

  • Programming Languages: Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML and CSS;
  • Machine Learning & NLP Frameworks: Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK;
  • Cloud Platforms & Data Infrastructure: Google Cloud Platform (Vertex AI, BigQuery, and Cloud Storage), Microsoft Azure, AWS (S3 and EC2), Snowflake Snowpark, and OpenShift; and
  • Workflow Orchestration & DevOps: Apache Airflow, Control-M, GitLab CI/CD, Docker, FastAPI, Flask, and Domino

Worksite: One Norterra Drive, Phoenix, AZ 85085

Relocation assistance is Not Available for this position.

This position is eligible for the Employee Referral Program.

#DNP

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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