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Generative Ai Engineer Intern Jobs in Georgia (NOW HIRING)

NMK Global Inc.

Generative AI Engineer

Alpharetta, GA · On-site

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 ...

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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 ...

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 ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

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Deloitte

Lead Generative AI Data Engineer III

Atlanta, GA · On-site

$98K - $129K/yr

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Generative Ai Engineer Intern information

What does a Generative AI Engineer Intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

What are the key skills and qualifications needed to thrive as a Generative AI Engineer Intern, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

What types of projects can a Generative AI Engineer Intern expect to work on during their internship?

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

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

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

What are the most commonly searched types of Generative Ai Engineer jobs in Georgia? The most popular types of Generative Ai Engineer jobs in Georgia are:
What are popular job titles related to Generative Ai Engineer Intern jobs in Georgia? For Generative Ai Engineer Intern jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer Intern jobs in Georgia look for? The top searched job categories for Generative Ai Engineer Intern jobs in Georgia are:
Generative Ai Engineer Intern jobs near you

Generative AI Engineer

NMK Global Inc.

Alpharetta, GA • On-site

Other

Posted 2 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.

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