1

Generative Ai Internship Jobs (NOW HIRING)

This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI ...

Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented ... Prior internship experience or minimum 1 year of relevant work experience * Currently pursuing or ...

This internship is designed for individuals who are passionate about Artificial Intelligence, Generative AI, web application development, and emerging technologies. The intern will work closely with ...

AI Intern

San Jose, CA · On-site

$17.75 - $23.50/hr

... generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX or San Jose, CA ...

Design and implement generative AI solutions, includingLLM-based applications (e.g., using models ... work, internships, personal projects, or courseworkacceptable). AI/ML Experience:

... generative AI. This internship provides hands-on experience working with emerging AI systems and integrating them into Advantest's advanced testing platforms. Location: Austin, TX Role Overview In ...

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative AI and machine learning solutions. This internship will focus on building AI-powered applications ...

... Generative AI tools across various tasks such as knowledge search, code assistance, and media ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

next page

Showing results 1-20

Generative Ai Internship information

See salary details

$8

$15

$21

How much do generative ai internship jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for generative ai internship in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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

To thrive as a Generative AI Intern, you need a strong background in computer science, machine learning fundamentals, programming (Python), and mathematics, often supported by ongoing studies in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with cloud platforms or relevant coursework are highly valued. Strong problem-solving abilities, initiative, and teamwork skills help you effectively contribute and learn in a collaborative research or development environment. These skills ensure interns can meaningfully support AI projects, adapt to emerging technologies, and communicate technical findings within the team.

What is a Generative AI Internship job?

A Generative AI Internship is a temporary position where interns work with machine learning models that generate text, images, code, and more. Interns typically assist in research, model training, data preprocessing, and evaluation of AI-generated content. This role provides hands-on experience with technologies like large language models (LLMs) and neural networks, helping interns develop skills in AI development and deployment.

What kind of projects and responsibilities can I expect during a Generative AI Internship?

As a Generative AI Intern, you’ll typically work on research and development projects involving machine learning models used for content generation, image synthesis, or language processing. You may be tasked with data preprocessing, experimenting with model architectures, conducting literature reviews, and evaluating model outputs. Interns often collaborate closely with data scientists, machine learning engineers, and other team members during code reviews and brainstorming sessions. These experiences provide hands-on exposure to cutting-edge AI applications while helping you build skills necessary for future roles in the field.

More about Generative Ai Internship jobs
What cities are hiring for Generative Ai Internship jobs? Cities with the most Generative Ai Internship job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Internship jobs? States with the most job openings for Generative Ai Internship jobs include:
Infographic showing various Generative Ai Internship job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 1% As Needed, 91% Full Time, 1% Part Time, 3% Temporary, and 1% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Agentic AI Developer Intern

Agentic AI Developer Intern

JobTarget

Stamford, CT • On-site

$27 - $30/hr

Internship

Posted 8 days ago


Job description

Job Description
JobTarget is a leading company in the online job search and recruiting industry. Our team is comprised of experts in recruitment, e-commerce, and online job search. Our products are used by thousands of corporate recruiters and reach millions of job seekers. The company values work-life balance, rewarding risk and creativity, and an open culture. driven, and open-minded. We're perpetually searching for ways to make the job search process better, so if you're up for the challenge, apply, and let's make it better together.
The Opportunity
We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and internal tools using modern software engineering practices. You will work closely with software engineers, AI/ML engineers, product managers, and data teams to develop prototypes, integrate large language models, build APIs, evaluate model outputs, and contribute to production-quality AI features. This internship is ideal for students or recent graduates with a strong computer science background, solid coding skills, and an interest in building practical applications using generative AI technologies. Must be able to work at least 30 hours a week.
Responsibilities
  • Develop and maintain AI-powered software features, prototypes, and internal tools.
  • Write clean, efficient, and well-documented code in Python or another modern programming language.
  • Integrate large language models and AI APIs into applications, workflows, or backend services.
  • Assist in building retrieval-augmented generation, prompt workflows, model evaluation pipelines, and AI agent workflows.
  • Support development of agentic AI applications using frameworks such as LangGraph, LangChain, or similar tools.
  • Collaborate with engineers to design APIs, services, and data flows that support AI applications.
  • Test, debug, and improve AI system behavior, including accuracy, reliability, latency, and usability.
  • Participate in code reviews, unit testing, documentation, and deployment activities.
  • Help evaluate AI outputs for quality, consistency, safety, and business usefulness.
  • Work with structured and unstructured data, including text, documents, logs, or user-generated content.
  • Stay current with emerging AI development tools, frameworks, and best practices.

Required Qualifications
  • Currently pursuing a Bachelor's or Master's degree (preferred) in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  • Strong programming skills in Python, JavaScript/TypeScript, Java, or a similar language.
  • Solid understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.
  • Experience building software projects, APIs, applications, automation scripts, or backend services.
  • Familiarity with REST APIs, JSON, Git, and basic cloud or deployment concepts.
  • Strong analytical and problem-solving skills.
  • Ability to learn quickly, communicate clearly, and work well in a collaborative engineering environment.

Preferred Qualifications
  • Experience with generative AI tools, LLM APIs, or AI application frameworks.
  • Familiarity with tools or concepts such as: OpenAI, Anthropic, Gemini, Azure OpenAI, or similar LLM platforms LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar AI application frameworks
  • AI agents, multi-step workflows, tool calling, memory, routing, or orchestration patterns
  • Vector databases such as Pinecone, Weaviate, Chroma, FAISS, or pgvector
  • Retrieval-augmented generation, embeddings, prompt engineering, or model evaluation
  • FastAPI, Flask, Node.js, React, or similar application frameworks
  • Docker, CI/CD, cloud platforms, or basic DevOps workflows
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP, automation, or software development.
  • Interest in responsible AI, model evaluation, privacy, security, and safe AI deployment.

What You'll Learn
  • How to build real-world generative AI applications and AI-powered developer tools.
  • How to integrate LLMs into software systems using APIs, embeddings, retrieval, and evaluation workflows.
  • How to design AI agent workflows using tools such as LangGraph and related frameworks.
  • Best practices for writing production-quality code for AI applications.
  • How to test and improve AI system reliability, accuracy, and performance.
  • How AI engineering teams collaborate across product, data, software, and infrastructure functions.
  • Practical exposure to modern AI development frameworks, cloud tools, and deployment practices.

Hourly pay range: $27.00 - $30.00. JobTarget is an equal-opportunity employer.
Job Requirements