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Full Stack Ai Engineer Jobs in Georgia (NOW HIRING)

Full-Stack Developer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) You will be part ... You are expected to be an early adopter of AI-assisted development (GitHub Copilot/Cursor) to ...

Full Stack Engineer

Atlanta, GA ยท On-site

$110K/yr

Full Stack Engineer Location:- Atlanta, GA Salary $110K + Benefits Fulltime Overview: We are seeking a hands on Full Stack Engineer to join a team of 8 plus experienced full stack engineers ...

Sr Advanced AI Platform Engineer

Atlanta, GA ยท On-site

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure ...

Full Stack Developer The Opportunity: As a full-stack developer, you can resolve a problem with a ... Experience using AI-driven software development tools such as Copilot, Cursor, Codex, or Claude ...

Full Stack Developer

Atlanta, GA ยท On-site

$69K - $158K/yr

Job Number: R0244103 Full Stack Developer The Opportunity: As a full-stack developer, you can ... Experience using AI-driven sof tware development tools such as Copilot, Cursor, Codex, or Claude ...

Full Stack Developer

Atlanta, GA ยท On-site

$69K - $158K/yr

Full Stack Developer The Opportunity: As a full-stack developer, you can resolve a problem with a ... Experience using AI-driven software development tools such as Copilot, Cursor, Codex, or Claude ...

Full Stack Developer

Atlanta, GA ยท On-site

$69K - $158K/yr

As a full-stack developer, you can resolve a problem with a complete end-to-end solution in a fast ... Experience using AI-driven software development tools such as Copilot, Cursor, Codex, or Claude ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

As a Full Stack Software Development Engineering - Advisor I, you will serve as a critical ... AI Integration & Adoption: Actively utilize AI-assisted developer tools (e.g., GitHub Copilot ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building ...

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Experience with a Varied AI Toolset- Claude code, CodeX, Opencode, OpenClaude * Preferred ...

Showing results 21-40

Full Stack Ai Engineer information

See Georgia salary details

$37.6K

$113.8K

$160.9K

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

As of Aug 28, 2026, the average yearly pay for full stack ai engineer in Georgia is $113,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $133,400.00 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 are popular job titles related to Full Stack Ai Engineer jobs in Georgia?

For Full Stack Ai Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Georgia look for?

The top searched job categories for Full Stack Ai Engineer jobs in Georgia are:

What cities in Georgia are hiring for Full Stack Ai Engineer jobs?

Cities in Georgia with the most Full Stack Ai Engineer job openings:

Infographic showing various Full Stack Ai Engineer job openings in Georgia as of August 2026, with employment types broken down into 71% Full Time, 19% Part Time, 7% Contract, and 3% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $113,798 per year, or $54.7 per hour.

Full Stack Developer

Atlanta, GA โ€ข On-site

Other

Re-posted yesterday


Job description

Title: Full-Stack Developer
Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite)

You will be part of an agile squad dedicated to the "Feature-First" modernization of our banking
platform. Your goal is to take existing business logicโ€”often locked in legacy Java, .NET, or LAMP
environmentsโ€”and migrate it into a modern, Cloud-Native architecture. You are expected to be an early
adopter of AI-assisted development (GitHub Copilot/Cursor) to accelerate delivery while maintaining the
rigorous precision required for financial transactions.

Key Responsibilities::

โ€ข Feature Evolution: Enhance existing banking applications by refactoring legacy code into modern,
maintainable patterns (e.g., transitioning from a monolith to a modularized service).
โ€ข AI-First Development: Utilize GitHub Copilot, Cursor, or similar LLM tools for 80% of your
boilerplate, unit testing, and documentation. You should be able to "vibe code"โ€”iterating
quickly with AI to find the best architectural path.
โ€ข Full Stack Implementation: Develop and maintain end-to-end features, from UI components
(React/Angular) to API logic and database schemas.
โ€ข Cloud Integration: Deploy features into AWS/Azure/Google Cloud Platform environments, following established
CI/CD pipelines and Infrastructure-as-Code (Terraform) standards.
โ€ข Banking Logic Guardrails: Ensure every line of AI-assisted code meets banking security standards
(OWASP) and handles financial data with 100% integrity.

Technical Requirements

โ€ข Experience: 5โ€“8 years of professional software engineering.
โ€ข Core Stack (One of the following):
o Java: Spring Boot, REST APIs, Microservices.
o .NET: C#, .NET 6/8, Web API.
o MEAN/MERN: Node.js, Express, React/Angular.
o LAMP: Modern PHP (8.x), Laravel/Symfony, transitioning to containers.
โ€ข  Modern Patterns: Familiarity with Cloud-Native principles (Docker, Serverless) and Event-Driven
Architecture.
โ€ข AI Proficiency: Demonstrated ability to prompt and iterate with AI coding assistants to solve
complex logic problems