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Generative Ai Developer Jobs in Georgia (NOW HIRING)

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Generative AI and Large Language Models * Prompt engineering and prompt optimization * LLM testing and AI quality assurance * RAG, vector databases, semantic search, and embeddings * AI evaluation ...

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

GEI Consultants

AI Engineer

Atlanta, GA

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

Dolby

Senior Generative AI Researcher

Atlanta, GA · On-site

... engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image ... Generative modeling for audio applications (diffusion models, autoregressive models, masked ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

Global Payments

AI Engineer

Alpharetta, GA

Design, develop, and deploy ML, DL, and Generative AI models that solve complex business problems ... Collaborate with data scientists, product managers, and engineers to translate business ...

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How much do generative ai developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for generative ai developer in Georgia is $38.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $46.30 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What are popular job titles related to Generative Ai Developer jobs in Georgia?

For Generative Ai Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Georgia look for?

The top searched job categories for Generative Ai Developer jobs in Georgia are:

What cities in Georgia are hiring for Generative Ai Developer jobs?

Cities in Georgia with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $79,540 per year, or $38.2 per hour.

Senior Developer

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

$52.50 - $69.25/hr

Full-time

Re-posted 18 days ago

Job description

Overview
Job Purpose
Intercontinental Exchange, Inc. (ICE) presents an opportunity for a full-time Senior Developer to join a team responsible for development of the platform for providing cutting edge AI and ML solutions across the enterprise. The Senior Developer will have experience in all phases of software development lifecycle, from requirements gathering, to design, coding, unit testing, debugging, and supporting in production.
The candidate will be a core contributor to the AICOE team, which is central to ICE's long-term strategy to deploy Generative AI technologies across the enterprise in a responsible and sustainable way. The ideal candidate will bring hands-on experience designing and developing solutions that leverage the latest advancements in Generative AI, Large Language Models (LLMs), full-stack web technologies, and enterprise data systems.
This position requires strong technical proficiency, sound problem-solving skills, and a demonstrated commitment to Applied AI Expertise, including the practical use of modern AI developer tools and agentic platforms in day-to-day engineering work. Strong written and oral communication is essential, as the candidate will regularly collaborate with diverse teams across the enterprise to design, deliver, and iterate on AI-powered solutions.
Responsibilities
  • Analyze business and technical requirements and propose robust solutions for delivering AICOE projects within expected parameters of cost, time, and quality, with a focus on Generative AI and full-stack engineering outcomes.
  • Design, develop, and maintain scalable web applications and AI-powered platforms using modern web technologies (e.g., React, FastAPI, Node.js) and LLM integration frameworks, ensuring performance, scalability, and reliability.
  • Create and manage databases, ensuring data integrity and security.
  • Write clean, well-documented, and thoroughly tested code, taking full ownership of unit and integration testing for all functions created or modified, in accordance with AICOE coding standards and quality guidelines.
  • Work with project managers to compile a work breakdown structure of tasks for a given deliverable and provide realistic estimates for completing the assignment.
  • Collaborate with other Developers and QA Engineers to execute full cycle integration, functional, and regression testing.
  • Continuously evaluate and improve system performance, reliability, and maintainability; proactively identify and propose better technical approaches as the AICOE platform evolves.
  • Engage effectively with business and operations teams to understand requirements, resolve design challenges, and ensure that AI/ML solutions are aligned with enterprise goals and operational needs.
  • Implement user-friendly and responsive front-end interfaces.
  • Develop RESTful APIs and integrate third-party services, including LLM and Generative AI APIs (e.g., Anthropic, OpenAI, Azure OpenAI), to extend AICOE platform capabilities.
  • Ensure cross-platform optimization for mobile and desktop.
  • Maintain code quality, organization, and automation.
  • Participate in code reviews and provide constructive feedback to peers.
  • Stay current with the rapidly evolving Generative AI and LLM landscape; actively exercise Applied AI Expertise by using tools such as Claude Desktop, Claude CLI, Claude Code, Cursor, Microsoft Copilot, and Google Gemini in day-to-day development, and share knowledge and best practices with the broader AICOE team.

Knowledge and Experience
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Information Sciences, or a related field; equivalent professional experience with a strong portfolio of AI/ML or full-stack development work will also be considered.
  • Strong, proven programming skills in at least one general-purpose programming language such as JavaScript, Python, Java, or C#.
  • Proficiency in front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., FastAPI, Node.js, Spring).
  • Working knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
  • Experience in data visualization and business analytics tools like Tableau, Microsoft PowerBI, or similar tools is beneficial.
  • Experience in cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Experience working in Agile teams comprised of 5-8 cross-skilled engineers.
  • Solid understanding of version control tools (ideally Git).
  • Experience in applying web development best practices and implementing RESTful APIs.
  • Experience with writing complex programs and implementing custom algorithms.
  • Experience beyond using open-source tools as-is, and writing custom code on top of, or in addition to, existing open-source frameworks.
  • Knowledge of continuous integration and continuous deployment (CI/CD) pipelines.
  • Excellent written and oral communication skills, with the ability to explain complex AI/ML and technical solutions clearly to stakeholders across multiple disciplines; comfortable working in a diverse, globally distributed team.
  • Experience working in an applied R&D or innovation-lab environment, operating with agile practices and a bias for rapid iteration; demonstrated Applied AI Expertise including hands-on use of agentic developer tools (e.g., Claude Desktop, Claude CLI, Claude Code, Cursor, Microsoft Copilot, or Google Gemini) and working knowledge of prompting techniques is strongly preferred.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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