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Generative Ai Developer Jobs in Atlanta, GA (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 ...

Emonics LLC

Junior AI Engineer

Atlanta, GA · On-site

Stay current with emerging AI/ML and generative-AI technologies. Required Qualifications: * Bachelor's degree or equivalent knowledge in Computer Science, AI, Data Science, Engineering, or a related ...

New

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Hands-on expertise in integrating Generative AI (GenAI) and Large Language Model (LLM) solutions ... Engineer prompts and contextual workflows to improve LLM response quality and relevance.

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How much do generative ai developer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for generative ai developer in Atlanta, GA is $43.55, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $52.69 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 Atlanta, GA?

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

What job categories do people searching Generative Ai Developer jobs in Atlanta, GA look for?

The top searched job categories for Generative Ai Developer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Generative Ai Developer jobs?

Cities near Atlanta, GA with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

AI Engineer

Digipulse Technologies, Inc

Atlanta, GA • On-site

$69K - $89K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Engineer – GenAI Quality & Evaluation


Locations: Oakdale, MN | Atlanta, GA | Scottsdale, AZ | St. Petersburg, FL | Omaha, NE
Work Arrangement: Hybrid – 3 days onsite
Employment Type: Contract (C2C)
Requirement: Candidates must be local to one of the listed locations.

We are looking for an experienced AI Engineer with a background in software engineering, QA, automation testing, or business systems analysis. The ideal candidate should have at least one year of hands-on experience with Generative AI, LLMs, prompt engineering, conversational AI, or AI testing.

Key Skills
  • 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 and observability
  • Python and SQL
  • REST APIs, JSON, and Postman
  • Test automation frameworks
  • Azure DevOps, Git, and Azure OpenAI
  • Arize AI or similar observability tools
Responsibilities
  • Design and execute test plans for GenAI and LLM applications
  • Test prompts, agents, APIs, conversational AI, and RAG workflows
  • Evaluate AI responses and identify hallucinations or quality issues
  • Perform functional, regression, integration, and API testing
  • Build or improve automated testing frameworks
  • Track defects, prompt versions, experiments, and test results
  • Prepare technical documentation and evaluation reports
  • Work closely with developers, QA teams, product teams, and business stakeholders
Qualifications
  • 5–10 years of relevant technical experience
  • 1+ year of hands-on GenAI or LLM experience
  • Strong experience with test planning, APIs, JSON, and Agile delivery
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
  • Strong analytical, troubleshooting, communication, and documentation skills

Apply