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

Generative AI Engineer Location: Alpharetta, GA (Onsite/Hybrid) Job Type: Contract / Full-Time Experience: 6-8 Years We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI ...

New

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 ...

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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Gen AI Developer

Atlanta, GA · On-site

$48/hr

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 ...

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 ...

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 ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Aug 1, 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, and why are they important?

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.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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 the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

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 July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

Generative AI Engineer

NMK Global Inc.

Alpharetta, GA • On-site

Other

Posted 3 days ago

New


Job description

NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers.

Job Title: Generative AI Engineer
Location: Alpharetta, GA (Onsite/Hybrid)
Job Type: Contract / Full-Time
Experience: 6–8 Years
 

Job Description:

We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate will have hands-on experience with Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and cloud AI services. You will work closely with cross-functional teams to build intelligent, scalable, and production-ready AI solutions.

Primary Skills:

  • Generative AI
  • Large Language Models (LLMs)
  • Python
  • LangChain
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • OpenAI / Azure OpenAI
  • Vector Databases
  • FastAPI
  • AWS / Azure / GCP

Required Skills:

  • 6–8 years of software development experience with at least 2+ years in Generative AI.
  • Strong programming experience in Python.
  • Hands-on experience with LLMs such as GPT, Claude, Llama, or Gemini.
  • Experience building applications using LangChain or LlamaIndex.
  • Strong understanding of RAG architecture and semantic search.
  • Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
  • Knowledge of prompt engineering and AI model evaluation.
  • Experience developing REST APIs using FastAPI or Flask.
  • Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI).
  • Experience with Git, Docker, Kubernetes, and CI/CD pipelines.
  • Strong problem-solving and communication skills.

Nice to Have:

  • Experience with AI agents and agentic workflows.
  • Knowledge of Hugging Face Transformers.
  • Experience with MLflow, LangSmith, or AI observability tools.
  • Exposure to fine-tuning LLMs and model optimization.
  • Experience with Kafka or event-driven architectures.

Responsibilities:

  • Design and develop Generative AI applications using LLMs.
  • Build RAG-based solutions with vector databases.
  • Develop and optimize prompts for AI use cases.
  • Integrate AI models with enterprise applications through REST APIs.
  • Evaluate AI model performance and improve response quality.
  • Collaborate with business stakeholders, data scientists, and engineering teams.
  • Deploy and monitor AI solutions in cloud environments.
  • Follow best practices for AI security, governance, and scalability.

Education:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field

 NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law.