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Full Stack Ai Engineer Jobs in Stockbridge, 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 ...

... 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 ...

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 ...

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and collaborate closely with product, QA, and design teams in an Agile environment. This is a US-based ...

You will contribute to AI and LLM-adjacent codebases, work with sensitive regulated data, and collaborate closely with product, QA, and design teams in an Agile environment. This is a US-based ...

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 ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ยท On-site

$117K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Atlanta, GA

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 1-20

Full Stack Ai Engineer information

See Stockbridge, GA salary details

$37.9K

$114.9K

$162.5K

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

As of Aug 18, 2026, the average yearly pay for full stack ai engineer in Stockbridge, GA is $114,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $134,700.00 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 Stockbridge, GA look for?

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

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

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

Infographic showing various Full Stack Ai Engineer job openings in Stockbridge, 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 $114,928 per year, or $55.3 per hour.

Senior Consultant - Full Stack AI Engineering

Ember Group Consulting

Atlanta, GA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

We are seeking an experienced Full Stack AI Engineering Senior Consultant to design, build, and deploy enterprise-grade capabilities. This role combines full stack engineering, AI/ML development, agentic AI technologies, cloud architecture, and client-facing consulting.

The ideal candidate will have strong experience developing AI based applications, building and tuning AI agents, deploying solutions within enterprise environments, and leveraging cloud platforms such as AWS and Google Cloud. Experience with HRM/HCM SaaS platforms, user experience design, and AI solution deployment is highly preferred.

Key Responsibilities

Full Stack Development

  • Collaborate with clients and business stakeholders to understand requirements and translate them into scalable technical solutions.
  • Design, develop, and maintain modern AI based applications utilizing front-end and back-end technologies.
  • Build reusable, secure, and scalable APIs, MCP services, Webhooks and microservices.
  • Develop front-end applications that effectively integrate with enterprise APIs and AI services.
  • Create technical documentation, architecture diagrams, and implementation guides.

AI & Agent Development

  • Design, develop, deploy, and optimize AI agents and agentic workflows for enterprise use cases.
  • Build, fine-tune, evaluate, and maintain AI-powered applications using Large Language Models (LLMs).
  • Implement Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and agent orchestration frameworks.
  • Monitor agent performance and continually improve accuracy, reliability, and business outcomes.
  • Integrate AI agents with enterprise systems, applications, and business processes.

Cloud & DevOps

  • Deploy and manage applications across AWS and Google Cloud Platform (GCP).
  • Publish and maintain code repositories using Git-based version control and enterprise development standards.
  • Develop CI/CD pipelines and automate application deployment, testing, and monitoring.
  • Utilize containerization and orchestration technologies including Docker and Kubernetes.
  • Ensure system security, scalability, availability, and performance.

Data & Analytics

  • Develop dashboards, visualizations, and reports to support business decision-making.
  • Analyze complex datasets to identify business trends and optimization opportunities.
  • Apply statistical modeling and machine learning techniques to improve business outcomes.

Consulting & Leadership

  • Provide technical leadership, mentoring, and coaching to client development teams.
  • Communicate complex technical concepts to both technical and non-technical stakeholders.
  • Lead architecture discussions, design reviews, and solution recommendations.

Stay current with emerging technologies in AI, machine learning, cloud platforms, and software development.

Requirements

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  • 5+ years of experience in full stack software development.
  • Strong proficiency in Python and modern software development practices.
  • Experience designing and developing web-based applications and enterprise solutions.
  • Expertise in front-end technologies such as React, Angular, Vue.js, JavaScript, and TypeScript.
  • Experience with back-end technologies including Python, Node.js, Java, or .NET.
  • Strong experience designing and developing RESTful APIs and GraphQL services.
  • Knowledge of SQL and NoSQL databases and data modeling principles.
  • Experience with Git repositories and enterprise software development lifecycle practices.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with AWS services and cloud-native application development.
  • Strong problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

  • Experience developing, tuning, and deploying AI agents in enterprise environments.
  • Hands-on experience with Generative AI, LLMs, Agentic AI frameworks, LangChain, LangGraph, RAG, and prompt engineering.
  • Google Cloud Platform (GCP) certification and experience with Vertex AI or related AI services.
  • Experience deploying AI/ML solutions into production environments.
  • Knowledge of MLOps practices and model lifecycle management.
  • Experience with HRM (Human Resource Management) and HCM (Human Capital Management) systems and web interfaces.
  • Experience using Axure for wireframing, prototyping, and user experience design.
  • Consulting experience within large enterprise environments.

Benefits

Why Ember?

We're a boutique management consulting firm trusted by executive leadership teams to lead complex transformation initiatives where execution, change leadership, and strategic partnership matter most. Our consultants don't simply fill roles; they become trusted advisors embedded within some of our clients' most visible enterprise initiatives.

We're intentionally building a different kind of consulting firm, one where talented people have the opportunity to shape client relationships, influence strategy, and grow alongside experienced consulting leaders in a highly collaborative, entrepreneurial environment.

  • Competitive compensation
  • Medical, dental & vision insurance
  • 401(k) with company match
  • Paid holidays
  • Paid time off
  • Long-term career growth with Ember
  • Opportunity to support additional strategic consulting engagements as our firm continues to scale