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Prompt Engineering Internship Jobs (NOW HIRING)

Athenago

AI Engineering Intern

Wilmington, DE

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 ...

Athena LLC

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 ...

AT&T

Lead Cybersecurity - Insider Risk Engineer

Kimball, NE · On-site

$102K - $134K/yr

... internships/academic projects welcome). * Strong fundamentals in Python. * Working knowledge of ... Prompt engineering and prompt versioning * Tool/function calling and agentic workflows * Output ...

Hibu

Software Engineer

Cedar Rapids, IA · 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)

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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.

Forward Deployed Engineer

David Joseph & Company

New York, NY • On-site

$240K - $300K/yr

Full-time

Posted 16 days ago

Job description

New York City, NY · On-site (4 days/week) · Full-time
Compensation: $240,000–$300,000 + equity (0%–1%)

About the Company

A well-funded, venture-backed seed-stage startup using generative AI to automate consumer debt collection — a ~$35B US market. Their AI agents automate the late-stage recovery process end-to-end and already outperform traditional collection methods at a fraction of the cost. The company is growing rapidly with strong early revenue traction and is scaling its team to meet demand.
Founded 2024 · 1–10 people · Industry: AI Tools

The Role

We are hiring a Forward-Deployed Engineer to lead end-to-end customer implementations, working at the intersection of engineering and operations — building the integrations and technical systems that bring clients into production. This role blends software engineering with hands-on customer work. You'll thrive here if you enjoy ambiguity, love shipping quickly, and can translate business requirements into robust, testable systems. It's a highly visible, high-ownership role working closely with founders and clients.

What you'll be doing

  • Build and maintain custom integrations with client systems
  • Configure and productionize AI agents for each client (prompts, workflows, data transfers)
  • Develop and implement client solutions using modern back-end frameworks
  • Translate vague customer requirements into clear technical specs and ship solutions quickly
  • Build internal tools to make implementations faster and more repeatable

Tech stack: Full-stack JavaScript/TypeScript, Node.js, React.js, AWS, SQL, LLMs (GPT-5 or other)

Requirements
  • Strong engineering background in full stack JavaScript/TypeScript
  • Shipped real production products at early-stage startup OR built meaningful side projects/started own company
  • Strong communication skills
  • Native English speaker (US/Canada)
  • Prompt engineering experience
Green Flags
  • Experience with Node.js, React.js, AWS, SQL, and GPT-5 or other LLMs
  • Top 40-50 university graduate
  • Background in investment banking or consulting transitioning to engineering
  • Internships or experience at well-known tech companies
  • Built end-to-end projects
  • Early-stage startup experience
Red Flags
  • Job hopping (short stints)
  • No production experience
  • Poor communication skills
  • Not willing to be scrappy/grind
Why Join
  • Own customer implementations end-to-end in a highly visible, high-ownership role working directly with founders and clients
  • Join a fast-growing, well-funded startup with strong early revenue traction in a large market
  • Ship to live customers and see your work drive revenue immediately
Details
  • Location — New York City, NY
  • Work policy — In-office 4 days/week, flexible in-person schedule
  • Compensation — $240,000–$300,000 + equity
  • Visa sponsorship — No general sponsorship; open to Canadian candidates requiring sponsorship
  • Employment type — Full-time