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Full Stack Ai Engineer Jobs in Jefferson, GA (NOW HIRING)

Full Stack Python Engineer Location: Athens, GA (Onsite/Hybrid) Type: Ongoing Contract Interview Process: 1 Virtual + 1 Onsite About the Role Are you a passionate React + Python developer eager to ...

Full Stack Developer Takeuchi-US is looking for a Full Stack Developer. This position will play a key role in developing business applications and integrations between systems. You will analyze ...

Web Development Tutor

Athens, GA ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... full-stack development roles and software engineering careers. * Conceptual Teaching & Problem ...

JavaScript Tutor

Athens, GA ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ...

Supabase Tutor

Athens, GA ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... and full-stack project development to support developers from Supabase beginners through advanced ...

Director, Application Development

Buford, GA ยท Hybrid

$175K - $179K/yr

Supervise full-stack developers and contractors working on AI/data projects. Position Requirements: Education & Certification: * Bachelor's degree in Computer Science or Software Engineering, or ...

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Full Stack Ai Engineer information

See Jefferson, GA salary details

$41.1K

$124.6K

$176.2K

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

As of Sep 4, 2026, the average yearly pay for full stack ai engineer in Jefferson, GA is $124,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $146,100.00 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.

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.

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 job categories do people searching Full Stack Ai Engineer jobs in Jefferson, GA look for?

The top searched job categories for Full Stack Ai Engineer jobs in Jefferson, GA are:

What cities near Jefferson, GA are hiring for Full Stack Ai Engineer jobs?

Cities near Jefferson, GA with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Jefferson, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,625 per year, or $59.9 per hour.

Full Stack Python Engineer

MM International

Athens, GA โ€ข On-site

Contractor

Re-posted 27 days ago


Job description

Job Title: Full Stack Python Engineer
Location: Athens, GA (Onsite/Hybrid)
Type: Ongoing Contract
Interview Process: 1 Virtual + 1 Onsite

About the Role

Are you a passionate React + Python developer eager to make an impact? Our client is looking for a Junior to Mid-Level Full Stack Engineer to join a dynamic, innovative team in Athens, GA. In this role, you’ll work across the full stack—designing, building, and deploying applications that drive real business results.

Key Responsibilities

  • Develop responsive, user-friendly front-end components using ReactJS and TypeScript
  • Build and maintain scalable back-end APIs with Python frameworks (Django, Flask, or FastAPI)
  • Integrate and optimize RESTful APIs and database queries (MySQL, SQL Server, MongoDB)
  • Collaborate within Agile/Scrum teams to deliver high-quality software
  • Contribute to CI/CD pipelines and version control best practices

Required Skills and Experience

  • 3–5 years of professional full stack development experience
  • Strong proficiency in ReactJS, Python, JavaScript, HTML, and CSS
  • Experience with CI/CD workflows and GitHub/Bitbucket
  • Solid understanding of database design and optimization
  • Excellent problem-solving and communication skills

Nice to Have

  • Experience with AWS services or other cloud platforms
  • Familiarity with containerization tools (Docker, Kubernetes)
  • Exposure to automated testing frameworks