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

... Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI ...

As a Full Stack AI Systems Software Development Engineer, you will design and build production-grade applications that operationalize Evergreen.AI systems inside real enterprise workflows. This role ...

Full Stack Generative AI Developer Atlanta, GA (Hybrid Must locals Only) Long Term Overview We are seeking a talented Full Stack Generative AI Developer to design, develop, and maintain cutting-edge ...

New

Full Stack Developer Location: Atlanta, GA, Hybrid Employment Type: Full-Time About Us ... Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems ...

Job Summary : Bricklayer AI is the first multi-agent LLM-based AI solution that brings autonomous ... The Full Stack Engineer will contribute to the frontend architecture and implementation of the ...

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 ...

New

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 ...

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Showing results 1-20

Full Stack Ai Engineer information

See Atlanta, GA salary details

$42.8K

$129.6K

$183.2K

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

As of Jul 30, 2026, the average yearly pay for full stack ai engineer in Atlanta, GA is $129,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $151,900.00 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 cities near Atlanta, GA are hiring for Full Stack Ai Engineer jobs? Cities near Atlanta, GA with the most Full Stack Ai Engineer job openings:
Infographic showing various Full Stack Ai Engineer job openings in Atlanta, GA as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution, with an average salary of $129,603 per year, or $62.3 per hour.

Lead JAVA Full Stack AI Engineer

Analytics Solutions

Alpharetta, GA โ€ข On-site

Other

Posted 2 days ago

New


Job description

Role Summary

We are seeking a Lead Full Stack AI Engineer with 10+ years of experience to build next-generation AI-powered enterprise applications. This role will lead the development of intelligent associate experiences by combining modern full-stack engineering with Generative AI, AI Agents, agent orchestration, and cloud-native architectures.

The ideal candidate will design and develop AI-driven workflows, autonomous agents, and intelligent decision-support capabilities that automate complex business processes and improve associate productivity. This is a hands-on engineering role spanning frontend, backend, APIs, cloud services, AI integration, and enterprise-scale system modernization.

Required Qualifications

  • 10+ years of experience in Full Stack Software Engineering
  • Strong expertise in Java, REST APIs, backend services, distributed systems, and enterprise integrations
  • Hands-on experience with AWS services including Lambda, S3, API Gateway, Step Functions, and PostgreSQL
  • Experience designing and developing AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), AI Agents, MCP, prompt engineering, and agent orchestration frameworks
  • Experience integrating GenAI capabilities into enterprise products using services such as Amazon Bedrock, OpenAI APIs, or equivalent
  • Experience building AI-assisted workflow automation and intelligent decision-support solutions
  • Proficiency with GitHub Copilot, Amazon Q, or similar AI-assisted development tools
  • Experience building scalable, cloud-native enterprise applications and microservices
  • Strong system design, architecture, and technical leadership skills
  • Ability to rapidly prototype, experiment, and deliver production-ready AI solutions
Ideal Candidate

We're looking for an engineer who can go beyond traditional software development someone who can architect and build AI-first products, leverage modern GenAI technologies to automate complex workflows, and accelerate engineering delivery using AI-powered development tools. This individual should be passionate about transforming enterprise experiences through intelligent automation and agentic AI.