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Full Stack Ai Engineer Jobs in Arizona (NOW HIRING)

VYNYL

Senior Full Stack Engineer (Typescript)

Phoenix, AZ · On-site +1

$135K - $175K/yr

Senior Full Stack Engineer (Typescript) Phoenix Vynyl's technologists, designers and product ... We use the best cloud-native and AI-enabled tools, and apply a battle-tested combination of Agile ...

VYNYL

Senior Full Stack Engineer (Typescript)

Phoenix, AZ · On-site +1

$135K - $175K/yr

About the Role We are seeking an experienced, highly motivated Senior Full-Stack Engineer to join ... Candidates must demonstrate an active engagement with AI tools, understanding their practical use ...

Prosum Inc.

Sr. Full Stack .NET Developer

Phoenix, AZ · On-site

Sr. Full Stack .NET Developer Position Overview We are seeking a Senior Full Stack .NET Developer ... NET Core and Angular 2+, thrives in an Agile/Scrum environment, and has experience incorporating AI ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Arizona

Full Stack Ai Engineer information

See Arizona salary details

$41.5K

$125.6K

$177.5K

How much do full stack ai engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for full stack ai engineer in Arizona is $125,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Arizona? For Full Stack Ai Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Arizona look for? The top searched job categories for Full Stack Ai Engineer jobs in Arizona are:
What cities in Arizona are hiring for Full Stack Ai Engineer jobs? Cities in Arizona with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Arizona as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $125,591 per year, or $60.4 per hour.
Full Stack Developer

Full Stack Developer

Strategic Staffing Solutions

Chandler, AZ • Hybrid

Other

Posted 16 hours ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Full Stack Developer Contract Length: 24+ Months Location: CHANDLER, AZ 85286 Hybrid work- 3 days per week in-office required/ 2 days remote Ref# 246418 Seeking an experienced Full Stack Developer / Solutions Engineer with a strong passion for software craftsmanship, clean code practices, and scalable application development. This role operates within an Agile, highly collaborative environment where developers are encouraged to contribute ideas, drive innovation, and influence technical direction. The ideal candidate will have strong front-end and back-end development experience, particularly with AngularJS and Java Spring-based API development, along with experience building scalable distributed applications and cloud-based solutions

Key Responsibilities Design, develop, and maintain scalable full stack applications Build and maintain UI components using AngularJS Design and develop APIs and backend services using Java Spring Boot Develop reliable, distributed, data-driven applications and services Participate in Agile/Scrum software development processes Collaborate with product owners, designers, QA teams, and other developers Participate in code reviews, planning sessions, and estimation meetings Contribute to application architecture, solution design, and system improvements Develop integrations between independent systems, services, and data sources Refactor and optimize existing code for scalability, maintainability, and performance Write unit and integration test cases Provide technical leadership, mentoring, and coaching when needed Handle multiple priorities and deliver solutions within deadlines Required Qualifications 5+ years of full stack development experience Strong programming experience with: Java Spring Boot Angular / AngularJS 2+ years of hands-on experience using Generative AI-assisted development tools such as: GitHub Copilot Cursor Devin 2+ years of cloud application development experience Strong experience with API and web service development using Java Spring Boot Experience with microservices architecture and independently deployable services Strong database experience with technologies such as: MongoDB SQL Server Oracle Experience with: SQL queries Stored procedures ETL processes Data modeling Experience with object-oriented design, software patterns, and refactoring Experience writing unit and integration tests Strong understanding of relational database design and implementation Experience building integrations between systems and services Experience working within Agile development environments Strong problem-solving, communication, and collaboration skills Preferred Qualifications Experience with Confluence, Jira, or Team Foundation Server (TFS) Experience working with SQL and/or S3-based data platforms Experience building application code and automated test cases using Generative AI Exposure to Agentic AI concepts and tooling Experience with cloud architecture best practices Experience with Business Objects or enterprise reporting tools Desired Traits Passion for clean code and software craftsmanship Strong analytical and problem-solving abilities Ability to work independently in a fast-paced Agile environment Flexibility and adaptability in evolving technical environments Strong interpersonal skills and positive team collaboration mindset

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