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Prompt Engineering Internship Jobs (NOW HIRING)

AI Fund

AI Engineer

Mountain View, CA · On-site

... prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world ... This could come from some combination of formal study, internships, previous work experience, and ...

Hibu

Software Engineer

Columbus, OH · Hybrid

... internship experience) * Hands-on experience or strong interest in AI development, including: * AI coding and prompt engineering * Working with AI-assisted development tools (e.g., Devin)

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

Contribute to prompt engineering, evaluation, and response-quality improvement initiatives. * Help ... Strong foundation in Python programming, gained through coursework, projects, internships, and/or ...

Arcade

Product Engineer, AI

San Francisco, CA · On-site

... internships, startups, or open-source contributions all count • Familiarity with modern AI infrastructure -- LLMs (and their limitations), prompt engineering, multimodal/image models, vector ...

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

Academic projects, internships, or part-time work during degree programs will not be considered as ... with prompt engineering, fine-tuning, and evaluation methods for improving real-world model ...

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How much do prompt engineering internship jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for prompt engineering 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 is the stipend for prompt engineer intern?

The stipend for a prompt engineering internship varies depending on the company and location but typically ranges from $1,000 to $3,000 per month. Interns often work part-time or full-time and may also receive mentorship and skill development opportunities.

What is a Prompt Engineering Internship job?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

Is 22 too old for an internship?

Prompt Engineering Internships are open to candidates of various ages, including those in their early twenties. Age is generally not a barrier, and employers often value skills, relevant experience, and a willingness to learn over age. Many internships welcome diverse applicants, regardless of age, especially if they demonstrate enthusiasm and technical aptitude.

What kinds of projects or responsibilities can I expect during a Prompt Engineering Internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

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

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

What jobs can I get with prompt engineering?

Prompt engineering skills are valuable in roles such as AI/ML engineer, data scientist, NLP specialist, or AI product manager, where designing effective prompts improves AI model outputs. These positions often require knowledge of machine learning, programming, and AI tools like language models. The role involves developing, testing, and refining prompts to optimize AI performance in various applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various industries. Demand for prompt engineers is increasing, especially for roles involving AI development, natural language processing, and expertise with tools like GPT models, making it a valuable skill set for tech-focused positions.
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Prompt Engineering Internship jobs near you
Infographic showing various Prompt Engineering Internship job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
AI Engineer

AI Engineer

AI Fund

Mountain View, CA • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
AI Fund is an education technology company focused on empowering the global workforce to build an AI-powered future. They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences.
Responsibilities:
• Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.
• Work with a small team to quickly iterate and ship new products and features.
• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.
• Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.
• Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.
Qualifications:
Required:
• Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.
• The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.
• Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.
• Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.
• Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.
• Excellent communicator and team player with strong English language skills if not a native speaker yourself.
Preferred:
• Background or expertise in education and / or development of educational technology.
• Experience in product management, user testing, and rapid iteration.
Company:
AI Fund is a venture studio that co-founds AI companies alongside founders, VCs, and corporate partners. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.

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