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Generative Ai Developer Jobs in Atlanta, GA (NOW HIRING)

Generative AI Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

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 ...

Generative AI Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

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 ...

Generative AI Engineer

Atlanta, GA · On-site

  • Medical

  • Retirement

  • PTO

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 ...

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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Skills: * Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core. * Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring). * Programming ...

... Generative AI and agent-based systems • Strong experience with Agentic AI concepts: planning ... engineering, and model APIs • Hands-on experience with RAG pipelines, vector databases, and ...

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 ...

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Generative Ai Developer information

See Atlanta, GA salary details

$18

$43

$97

How much do generative ai developer jobs pay per hour?

As of Aug 16, 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 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 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 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 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 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:

Infographic showing various Generative Ai Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

Generative AI Engineer - Alpharetta, GA - F2F

NMK Global Inc.

Alpharetta, GA • On-site

Other

Posted 12 days ago


Job description

Hi Every one,
Hope doing well!.

Job Title: Generative AI Engineer
Location: Alpharetta, GA - F2F
Job Type: Contract
Experience: 7 9 Years

Job Description

We are looking for an experienced Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate should have strong expertise in Python, Generative AI, prompt engineering, RAG, vector databases, and cloud platforms. The candidate must be comfortable working in an Agile environment and collaborating with cross-functional teams.

Required Skills
  • 7 9 years of software development experience.
  • Strong experience with Python.
  • Hands-on experience with Generative AI, LLMs, OpenAI, GPT, LangChain, and RAG (Retrieval-Augmented Generation).
  • Experience with Vector Databases (Pinecone, FAISS, ChromaDB, or Milvus).
  • Knowledge of Prompt Engineering and AI model optimization.
  • Experience with REST APIs and microservices.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Git, CI/CD, Docker, and Kubernetes.
  • Experience working in Agile/Scrum environments.
  • Excellent communication and problem-solving skills.
Responsibilities
  • Design and build Generative AI solutions using LLMs.
  • Develop AI applications with LangChain and RAG architecture.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize prompts and improve AI model performance.
  • Collaborate with Business Analysts, Developers, and Data Engineers.
  • Deploy and monitor AI applications in cloud environments.
  • Follow best practices for security, scalability, and performance.