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Generative Ai Developer Jobs in Georgia (NOW HIRING)

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Equifax, Inc.

Generative AI Engineer

Atlanta, GA · On-site

We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Share this job: Share: Share Generative AI Data Engineer III with Facebook Share Generative AI Data Engineer III with LinkedIn Share Generative AI Data Engineer III with Twitter Caution against ...

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How much do generative ai developer jobs pay per hour?

As of Sep 6, 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $79,540 per year, or $38.2 per hour.

Generative AI Engineer

Info Way Solutions

Alpharetta, GA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Info Way Solutions is seeking a Generative AI Engineer to join their AI/ML team and build cutting-edge generative models and applications. The role involves designing, building, evaluating, and deploying systems for various AI tasks, including text and image generation, while collaborating with research and product teams.
Responsibilities:
• Design and build scalable and production-grade generative AI systems.
• Develop, fine-tune, and evaluate LLMs
• Integrate LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Work with prompt engineering and prompt optimization for various applications.
• Build and maintain APIs and backends for generative AI applications.
• Collaborate with research and product teams to bring prototypes to production.
Qualifications:
Required:
• Experience in designing and building scalable and production-grade generative AI systems.
• Proficiency in developing, fine-tuning, and evaluating LLMs.
• Experience integrating LLMs with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Knowledge of prompt engineering and prompt optimization for various applications.
• Ability to build and maintain APIs and backends for generative AI applications.
• Experience collaborating with research and product teams to bring prototypes to production.
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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