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Full Stack Ai Engineer Jobs (NOW HIRING)

Pavago

Full-Stack AI Engineer

Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred) About the Role We are ...

Ryan Consulting

Full Stack AI Engineer

Houston, TX

Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Full Stack AI Engineer is a hybrid technical and client-facing role responsible for the design, development, and ...

New

Talent Groups

Full stack AI Engineer

Washington, DC · On-site

* Proven expertise (5+ years) in full stack AI engineering, including design, development, and deployment of AI-powered applications. * Strong proficiency in Python for AI/ML model development ...

Ryan Consulting

Full Stack AI Engineer

Plano, TX

Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Full Stack AI Engineer is a hybrid technical and client-facing role responsible for the design, development, and ...

New

Ryan Consulting

Full Stack AI Engineer

Atlanta, GA

Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Full Stack AI Engineer is a hybrid technical and client-facing role responsible for the design, development, and ...

New

Cadre5

Full Stack AI Engineer

Knoxville, TN · On-site

Full Stack AI Engineer Founded in 1999 in the beautiful Smoky Mountains of East Tennessee, Cadre5 provides innovative technical solutions to our customers locally and nationally. Our Cadre5 Lab ...

Altis

Full-Stack AI Engineer

New York, NY · On-site

$120K - $240K/yr

We're looking for a full-stack AI engineer who ships production-grade intelligence platforms at 5-10× velocity. In this role, you will: * Own end-to-end full-stack features across React/Next.js ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Job Summary We are seeking a versatile Full-Stack AI Engineer with strong expertise in both backend and frontend development, combined with hands-on experience in AI/ML technologies . The ideal ...

Incedo Inc.

Full-Stack AI Engineer

Dallas, TX · On-site

Full-Stack AI Engineer Location: Dallas, TX or Tampa, FL or Basking Ridge, NJ MUST-HAVES ----- - 4 years of professional software development experience across frontend and backend. - Proficiency in ...

MLabs

Full Stack AI Engineer

New York, NY · On-site

$140K - $200K/yr

Remote/Hybrid Full-time Compensation: $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI ...

MLabs

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote/Hybrid | Full-time Compensation: $140K - $200K We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI ...

reveleer

Full Stack AI Engineer

$175K - $200K/yr

Full Stack AI Engineer Re mote Opportunity As the industry's pioneering value-based care (VBC) technology platform, Reveleer is purpose-built to solve the most pressing real-world challenges faced by ...

Prophecy Technologies

Full-Stack AI Engineer

Tampa, FL · On-site

Job Summary We are seeking a versatile Full-Stack AI Engineer with strong experience in backend and frontend development along with AI/ML technologies . The ideal candidate will develop scalable web ...

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All JobsFull Stack Ai Engineer Jobs

Full Stack Ai Engineer information

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$44.5K

$134.8K

$190.5K

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

As of Jun 26, 2026, the average yearly pay for full stack ai engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 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.
More about Full Stack Ai Engineer jobs
What cities are hiring for Full Stack Ai Engineer jobs? Cities with the most Full Stack Ai Engineer job openings:
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Full stack AI Engineer

TechYantram Solutions

Washington, DC • On-site

Other

Posted 6 days ago

Job description

Full Stack AI EngineerIntroduction:

This position requires a Full Stack AI Engineer with proven expertise in designing, developing, and deploying AI-powered applications. The ideal candidate will have a strong background in Artificial Intelligence, Machine Learning, and React.js to build dynamic user interfaces with Generative AI capabilities.

Responsibilities:
  • Design, develop, and deploy AI-powered applications with a focus on Responsible AI practices.
  • Utilize Python for AI/ML model development, orchestration, and integration.
  • Build dynamic user interfaces using React.js and Generative AI frameworks.
  • Work with Azure cloud services for storage, DevOps, and AI integration.
  • Implement AI-augmented development workflows using GPT-based models and GenAI frameworks.
  • Collaborate with cross-functional teams to deliver projects using agile methodologies.
  • Ensure secure integration of AI services within modern application architectures.
Requirements:

Required Skills:

  • 5+ years of experience in full stack AI engineering.
  • Proficiency in Python for AI/ML model development.
  • Advanced skills in React.js for building dynamic user interfaces.
  • Experience with Azure cloud services.
  • Knowledge of Responsible AI practices.

Preferred Skills:

  • Experience with GenAI frameworks and Copilot tools.
  • Familiarity with cloud-native development and CI/CD automation.
  • Background in modern application architecture and API design.
  • Understanding of agile methodologies and version control systems.
  • Knowledge in Angular, .Net, RESTful microservices, and Pega.

Apply