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Generative Ai Engineer Internship Jobs (NOW HIRING)

Generative AI / LLMs * OpenAI / Azure OpenAI * Google AI Stack (Gemini, Vertex AI) * AI Agents & Copilots * Prompt Engineering * RAG (Retrieval-Augmented Generation) * Workflow Automation ...

... 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 ...

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. Responsibilities : • ...

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite from Day 1 Pay Rate Range: $50/hr. - $60/hr. on C2C Interview: Face to Face Interview is Mandatory ...

They are seeking a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand and interact with the physical world, with a focus on training and deploying ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Senior AI Engineer Google AI & Generative Intelligence Location: [Paramus, NJ / Hybrid] Experience ... Prior experience mentoring junior engineers or interns in AI/ML domains.

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Generative Ai Engineer Internship information

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

As of Aug 12, 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?

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.

More about Generative Ai Engineer Internship jobs
What cities are hiring for Generative Ai Engineer Internship jobs? Cities with the most Generative Ai Engineer Internship job openings:
What are the most commonly searched types of Generative Ai Engineer jobs? The most popular types of Generative Ai Engineer jobs are:
What states have the most Generative Ai Engineer Internship jobs? States with the most job openings for Generative Ai Engineer Internship jobs include:
Infographic showing various Generative Ai Engineer Internship job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Generative AI Engineer

IPolarity LLC

Whippany, NJ • On-site

$70/hr

Full-time

Posted 24 days ago


Job description

Location: Richardson, TX (Hybrid)
Duration: 6+ months
Key Skills

  • Generative AI / LLMs
  • OpenAI / Azure OpenAI
  • Google AI Stack (Gemini, Vertex AI)
  • AI Agents & Copilots
  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • Workflow Automation & Integrations
  • Strong Communication and Stakeholder Engagement
Preferred Skills

  • AI Black Belt certification/expertise
  • Firewall, Data Center, and Spine-Leaf Architecture knowledge
  • Cloud and Infrastructure experience
Key Responsibilities

  • Translate business workflows, pain points, and objectives into production-ready AI solutions.
  • Design, develop, and deploy AI agents, copilots, automations, and retrieval-based applications.
  • Work directly with business stakeholders to define scope, success metrics, risks, dependencies, and delivery milestones.
  • Build integrations leveraging approved AI platforms and enterprise technologies.
  • Drive rapid prototyping and deployment of AI solutions to deliver business value in shorter timeframes.
Ideal Background

  • 10+ years of overall IT experience.
  • Hands-on experience with both OpenAI and Google AI ecosystems.
  • Experience building and deploying GenAI solutions in enterprise environments.
  • Strong client-facing and consulting skills with the ability to translate business requirements into technical solutions.