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Prompt Engineering Internship Jobs (NOW HIRING)

We are looking for passionate Software Engineering Interns with a strong interest in Artificial ... Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.

Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Previous projects or internship experience involving machine learning or AI (especially work with ...

Support the development of AI agentic components such as task planning, tool use, memory, prompt ... Previous projects or internship experience involving machine learning or AI (especially work with ...

AI Engineering Intern

Atlanta, GA · On-site

$16 - $21/hr

Rev.io is not offering a traditional internship. We're offering the opportunity to become an AI ... Prompt engineering in real-world engineering workflows * AI-assisted code review and development

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... hands-on work on prompt engineering and agentic harness development. * Contribute to data ...

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... hands-on work on prompt engineering and agentic harness development. * Contribute to data ...

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Prompt Engineering Internship information

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How much do prompt engineering internship jobs pay per hour?

As of Jun 12, 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.

Is 20 dollars an hour good for an internship?

For a Prompt Engineering Internship, earning $20 an hour is generally considered competitive, especially for entry-level positions or internships that do not require extensive experience. Internships often pay less than full-time roles, but rates can vary based on location, company, and skill requirements such as familiarity with AI tools and programming languages.

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.

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, and 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 and APIs. The field is growing as organizations seek experts to optimize AI interactions and develop intelligent applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various applications. 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.
More about Prompt Engineering Internship jobs
What cities are hiring for Prompt Engineering Internship jobs? Cities with the most Prompt Engineering Internship job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Prompt Engineering Internship jobs? States with the most job openings for Prompt Engineering Internship jobs include:
Data & AI Intern

Data & AI Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Posted 12 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

11th of 16 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
Required Skills:
Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
AI & LLM Foundational Knowledge:
Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
Backend & Concurrency (Java/Spring):
Strong experience with Spring Boot and MVC.
Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
Frontend (React/Modern JS):
Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).
Soft Skills & Mindset:
Excellent problem-solving skills and a strong mathematical/logical foundation.
Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
Skilled in technical writing, including documenting AI system architectures and data flows.
Additional Skills:
AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
Data & Databases:
Experience writing SQL and stored procedures.
Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
DevOps & Deployment:
Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
Basic knowledge of Unix/Linux environments
#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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