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Full Stack Ai Engineer Jobs in Arizona (NOW HIRING)

OpenWorks

Full Stack Developer

Phoenix, AZ · On-site

About the Role We're looking for a Full Stack Developer to help build and enhance scalable, cloud ... Leverage AI-assisted development tools, including Claude Code, to accelerate development, testing ...

Confiz Limited

Principal AI Engineer

Phoenix, AZ · On-site

$180 - $230/hr

Architect full-stack solutions that integrate AI models into web/enterprise applications ... Collaborate with data engineers, ML engineers, full-stack developers, and product owners to ...

New

TEKsystems

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full ... Integrate AI/ML models and platforms into enterprise solutions * Develop automation solutions for ...

New

TEKsystems

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full ... Integrate AI/ML models and platforms into enterprise solutions * Develop automation solutions for ...

New

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 Aug 7, 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?

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 August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

Full Stack .NET Developer

Conch Technologies Inc

Tempe, AZ • On-site

Contractor

Posted 2 days ago

New

Job description

Job Title: Full Stack .NET Developer

Location: Tempe, AZ (Hybrid – 2 to 3 Days Onsite per Week)
Duration: Long-Term Contract / Contract-to-Hire

Job Description

We are seeking an experienced Full Stack .NET Developer to join a growing development team. The ideal candidate will have strong expertise in .NET/C# backend development and modern Angular (Angular 2+ or later) frontend development. Candidates with hands-on experience in Artificial Intelligence (AI), Generative AI, Machine Learning integrations, or AI-powered application development will be highly preferred.

This role requires collaboration with cross-functional teams to design, develop, test, and deploy scalable enterprise applications while working in a hybrid environment in Tempe, Arizona.

Required Skills
  • 5+ years of Full Stack Development experience.
  • Strong proficiency in C# and .NET Framework/.NET Core/.NET 8.
  • Hands-on experience with Angular (Angular 2+); AngularJS experience alone is not sufficient.
  • Experience building and consuming RESTful APIs and microservices.
  • Strong knowledge of SQL Server and database design.
  • Experience with JavaScript, TypeScript, HTML5, and CSS3.
  • Familiarity with Git, CI/CD pipelines, and Agile development methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience developing or integrating AI/ML solutions, Generative AI applications, LLMs, ChatGPT, Azure OpenAI, Copilot, or AI-powered business solutions.
  • Experience with Azure cloud services.
  • Knowledge of Docker and Kubernetes.
  • Experience with enterprise-scale application development.
  • Prior experience mentoring junior developers or contributing to technical design decisions.