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Generative Ai Engineer Intern Jobs (NOW HIRING)

Beehive AI, Inc.

$150 - $200/hr

Artificial Intelligence (Generative AI) Engineer San Francisco Bay Area (on-site) or USA (remote) Job Type Full Time About the Company Beehive AI provides a generative AI platform designed ...

Citi

Senior Generative AI Engineer

New York, NY · On-site

$114K - $157K/yr

Generative AI Engineer At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront ...

Trndigital

$150 - $200/hr

Position Overview We're seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You'll work directly with enterprise clients to design, implement, and ...

New

Trndigital

AI Engineer - Generative AI

Boston, MA · On-site

$150 - $200/hr

Position Overview We're seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You'll work directly with enterprise clients to design, implement, and ...

New

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Abhyanth Solutions

Generative AI Engineer

Fremont, CA · On-site

Generative AI Engineer - Fremont, CA Location: Fremont, CA | Job Type: Full-Time Required Qualifications * 10+ years of professional full-stack software engineering experience. * Proven experience ...

Apex Systems

Generative AI Engineer

Jersey City, NJ · On-site

Job#: 3049135 Generative AI Engineer Location: Jersey City, New Jersey (Onsite) Role Overview You will join a team driving innovation in Artificial Intelligence. This position involves building the ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

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 ...

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 ...

TekCommands Inc

AWS + Generative AI Engineer

Chicago, IL · On-site

$66.75 - $87.50/hr

We are looking for an experienced AWS + Generative AI Engineer to design and develop secure, scalable, and AI-powered cloud solutions on AWS. The ideal candidate will have expertise in AWS Machine ...

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Generative Ai Engineer Intern information

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

As of Sep 8, 2026, the average hourly pay for generative ai engineer intern 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 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 skills and qualifications are needed to thrive as a generative AI engineer intern?

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.

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Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern 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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Artificial Intelligence (Generative AI) Engineer

Beehive AI, Inc.

On-site

$150 - $200/hr

Other

Posted 6 days ago

Job description

Artificial Intelligence (Generative AI) Engineer

San Francisco Bay Area (on-site) or USA (remote)

Job Type

Full Time

About the Company

Beehive AI provides a generative AI platform designed specifically for an organization’s unique qualitative data. With self-learning language models, validated by human experts, and built-in statistical analysis, research and insights leaders can quickly, accurately, and safely analyze their qualitative data, and combine it with quantitative data, to generate more robust customer insights.
Beehive AI ingests data from any insights program running in the organization, breaking down silos between data sets and creating a more consistent approach to analysis. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovation that rely on generic LLMs and can put your corporate data at risk , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time.

About the Position

As an Artificial Intelligence (Generative AI) Engineer, you will work on designing, developing, experimenting and maintaining various components of the Beehive AI algorithms and LLMs. You will need to work, often independently, on the full cycle of development starting from researching and experimenting with generative AI solutions all the way to implementing and productionalizing it.

Requirements

Advanced Degree : PhD in Computer Science, AI, Linguistics, Applied Physics or related fields, with a focus on AI and natural language processing.

Experience with LLMs and PyTorch : Extensive experience with large language models and proficiency in PyTorch.

Analytical and Problem-Solving Skills : Ability to address complex challenges in model training and optimization.

Communication and Collaboration Skills : Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.

Innovation and Continuous Learning : Passion for staying updated with the latest trends in AI and machine learning.

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