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Generative Ai Engineer Internship Jobs (NOW HIRING)

QTech US Inc

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA, Jacksonville, FL Duration: 12+ Months No C2C W2 Only Job Summary: We are seeking an experienced Senior ...

New

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Wise Skulls Corp.

$93K - $128K/yr

Background We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... generative AI solutions, including large language models (LLMs), prompt engineering, retrieval ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

... Generative AI use cases. * Available for a full-time, on-site internship for a minimum of 6-12 ... Programming: Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building ...

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How much do generative ai engineer internship jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for generative ai engineer internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Generative Ai Engineer Internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What kinds of projects or tasks do Generative AI Engineer Interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What is a Generative AI Engineer Internship job?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

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Generative Ai Engineer Internship jobs near you

Generative AI Engineer

QTech US Inc

Charlotte, NC • On-site

Other

Posted 2 days ago

New

Job description

Job Title: Generative AI Engineer
Location: Charlotte, NC, Columbia, SC, Atlanta, GA, Richmond, VA, Jacksonville, FL
Duration: 12+ Months
No C2C W2 Only
Job Summary:
We are seeking an experienced Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern cloud technologies. The ideal candidate will have expertise in building scalable AI applications, integrating foundation models, and developing intelligent automation solutions using Python and cloud platforms.
Key Responsibilities:
Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions.
Develop AI-powered applications using Python and modern AI frameworks.
Integrate OpenAI, Azure OpenAI, AWS Bedrock, Claude, Gemini, or other foundation models.
Design prompt engineering strategies to improve model accuracy and performance.
Collaborate with Data Engineers, Data Scientists, Product Owners, and Solution Architects.
Deploy AI applications using Azure or AWS cloud services.
Ensure AI solutions meet security, scalability, and performance standards.
Participate in code reviews, testing, deployment, and production support.
Required Skills:
Strong experience with Python.
Hands-on experience with Generative AI (GenAI).
Experience working with Large Language Models (LLMs).
Strong knowledge of Retrieval-Augmented Generation (RAG).
Experience with Prompt Engineering.
Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, Claude, or Gemini.
Experience building AI Agents or Agentic AI solutions.
Knowledge of LangChain or LlamaIndex.
Experience with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, or Milvus).
Experience developing REST APIs using FastAPI or Flask.
Experience deploying applications on AWS or Azure Cloud.
Strong understanding of Microservices Architecture.
Best Regards,
Teresa Rose

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