ZipRecruiter

Log In

1

Generative Ai Engineer Internship Jobs in Raleigh, NC

Accenture

Responsible AI Engineer

Raleigh, NC · On-site

DeepLearning, Neural Networks, Generative AI * Natural Language Processing, Text Mining, Computer ... Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine ...

previous pagenext page

Showing results 21-40

All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Internship JobsGenerative Ai Engineer Internship Jobs in Raleigh, NC

Generative Ai Engineer Internship information

See Raleigh, NC salary details

$10

$18

$28

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

As of Sep 7, 2026, the average hourly pay for generative ai engineer internship in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What is a generative AI engineer internship?

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.

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 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 are the most commonly searched types of Generative Ai Engineer jobs in Raleigh, NC?

The most popular types of Generative Ai Engineer jobs in Raleigh, NC are:

What are popular job titles related to Generative Ai Engineer Internship jobs in Raleigh, NC?

For Generative Ai Engineer Internship jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Internship jobs in Raleigh, NC look for?

The top searched job categories for Generative Ai Engineer Internship jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Generative Ai Engineer Internship jobs?

Cities near Raleigh, NC with the most Generative Ai Engineer Internship job openings:

Generative Ai Engineer Internship jobs near you

AI Prompt Engineer - Raleigh, Nc

Motion Recruitment

Raleigh, NC

Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 hours ago

Job description

Job Description

An enterprise cybersecurity group in Raleigh is seeking an AI Prompt Engineer to help expand an emerging security program centered around generative AI. The organization is evaluating advanced AI models from a security perspective and developing new ways to use generative models as part of automated security assessment, application testing, and vulnerability research.

This engineer will create sophisticated prompt-based testing workflows designed to make AI models perform targeted cyber analysis. Rather than focusing on basic chatbot prompting, the position involves developing reusable AI harnesses capable of providing the model with the proper context, instructions, and testing logic for activities including static and dynamic security testing, network exposure analysis, penetration-testing scenarios, port discovery, and certificate abuse detection.

Required Skills & Experience

  • Hands-on background designing sophisticated prompt strategies for generative AI

  • Practical cybersecurity knowledge, including attack surfaces, vulnerabilities, malicious behavior, and network traffic concepts

  • Software engineering or application development experience in languages such as Python, Go, C#, .NET, or similar

  • Ability to construct multi-step or context-rich LLM workflows rather than simple single prompts

  • Familiarity with one or more modern generative AI/model platforms

  • Experience storing, querying, or manipulating data using PostgreSQL, Elasticsearch, Cloud SQL, or related databases

  • Strong ability to explain previous AI projects, experimentation methods, and technical design decisions

Desired Skills & Experience

  • Exposure to application security and automated code-security testing

  • Background in offensive security, penetration testing, or vulnerability research

  • Familiarity with containerized or cloud-hosted applications

  • Experience with GKE or Kubernetes

  • Previous work evaluating the behavior or security of large language models

  • Experience operating in a research-oriented engineering environment

What You Will Be Doing

Daily Responsibilities

  • Engineer reusable prompt workflows that support AI-assisted security assessments

  • Create testing scenarios that push models to investigate applications, infrastructure, and potential attack surfaces

  • Develop prompting approaches for static and dynamic application-security analysis

  • Evaluate network, port, perimeter, and certificate-related security scenarios through GenAI workflows

  • Run experiments against different model providers and compare model behavior and effectiveness

  • Continuously adjust instructions, context, and harness logic based on testing results

  • Coordinate with data engineers so security output can be normalized, persisted, and analyzed downstream

  • Share actionable AI-discovered issues with threat-hunting and security-response teams

The Offer

  • Contract opportunity

  • Competitive hourly compensation

You will receive the following benefits:

  • Medical Insurance

  • Dental Benefits

  • Vision Benefits

  • Paid Time Off (PTO)

  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply