$90 - $130/hr
Help build the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model ... Some exposure to modern LLM tooling, whether that is coursework, a side project, or an internship.
$90 - $130/hr
Help build the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model ... Some exposure to modern LLM tooling, whether that is coursework, a side project, or an internship.
$197 - $225/hr
At least 4 years of experience in software engineering (Internship experience does not apply ... understand prompt construction, response parsing, token budgeting, and error handling in real ...
$197 - $225/hr
At least 4 years of experience in software engineering (Internship experience does not apply ... understand prompt construction, response parsing, token budgeting, and error handling in real ...
$69 - $119/hr
... Prompt engineeringo API-based model usageo Retrieval-augmented generation (RAG) basics ยท Ability ... Preferred internship experience in AI-focused startups, developer-tooling or cloud platforms ...
$69 - $119/hr
... Prompt engineeringo API-based model usageo Retrieval-augmented generation (RAG) basics ยท Ability ... Preferred internship experience in AI-focused startups, developer-tooling or cloud platforms ...
$110 - $150/hr
You'll receive an official offer to join our team which will prompt your onboarding journey ... Grow with us Internships SWA periodically hires interns for the summer, and at various stages ...
$110 - $150/hr
You'll receive an official offer to join our team which will prompt your onboarding journey ... Grow with us Internships SWA periodically hires interns for the summer, and at various stages ...
$120 - $150/hr
Internships and co-ops count. * Strong in TypeScript and/or Python . * You've built something with ... By month 3: you've set the team's baseline practices for evals, prompt management, and safe LLM ...
$120 - $150/hr
Internships and co-ops count. * Strong in TypeScript and/or Python . * You've built something with ... By month 3: you've set the team's baseline practices for evals, prompt management, and safe LLM ...
$74.39/hr
September 2026 Contract Duration: 6 months Work Hours: Full-time internship; 40 hours per week * Prompt & Experience Engineering: Support the refinement of RAG (Retrieval-Augmented Generation ...
New
$74.39/hr
September 2026 Contract Duration: 6 months Work Hours: Full-time internship; 40 hours per week * Prompt & Experience Engineering: Support the refinement of RAG (Retrieval-Augmented Generation ...
New
Prompt Engineer Internship information
What is a prompt engineer internship?
A Prompt Engineer Internship is a temporary position where interns learn to design, test, and optimize prompts for AI models such as ChatGPT or other large language models. Interns work alongside experienced prompt engineers to create effective instructions that guide AI systems to produce accurate, relevant, and safe responses. This role often involves experimentation, analysis, and collaboration with developers or researchers. It's a great opportunity for those interested in artificial intelligence, natural language processing, and human-computer interaction. Interns typically gain hands-on experience in prompt engineering, data analysis, and understanding the limitations and capabilities of current AI models.
What do prompt engineer interns do?
As a Prompt Engineer Intern, you will typically work on developing, testing, and refining prompts for AI language models to optimize their performance across various applications. Your daily tasks may include experimenting with prompt phrasing, analyzing model outputs, collaborating with data scientists and product managers, and documenting best practices. Interns are often encouraged to share insights that improve prompt effectiveness and may contribute to internal knowledge bases. This role offers hands-on exposure to prompt engineering techniques and a chance to directly impact product features and user experience.
What skills and qualifications are needed to thrive as a prompt engineer intern?
To thrive as a Prompt Engineer Intern, you generally need a foundation in computer science, familiarity with natural language processing (NLP), and strong analytical skills, often supported by coursework or experience in AI or machine learning. Experience with programming languages like Python, APIs for large language models, and tools such as OpenAI or Hugging Face libraries is valuable. Creativity, critical thinking, and effective communication help interns design, test, and refine high-quality prompts collaboratively. These skills and qualities enable the intern to contribute meaningful insights, solve real-world challenges, and optimize AI model outputs in a rapidly evolving field.
What is the difference between Prompt Engineer Internship vs Data Scientist Internship?
| Aspect | Prompt Engineer Internship | Data Scientist Internship |
|---|---|---|
| Required Credentials | Relevant coursework, coding skills, familiarity with AI models | Statistics, programming, data analysis, often a degree in CS or related field |
| Work Environment | Tech companies, AI startups, research labs | Tech firms, finance, healthcare, research institutions |
| Industry Usage | AI development, NLP projects, chatbot design | Data analysis, predictive modeling, data visualization |
| Search & Comparison Intent | Understanding roles related to AI prompt design | Exploring data analysis internship opportunities |
Prompt Engineer Internships focus on designing and refining prompts for AI models, requiring coding and AI knowledge. Data Scientist Internships involve analyzing data, building models, and deriving insights. While both are tech-focused, they serve different functions within AI and data analysis fields.
What are the most commonly searched types of Prompt Engineer jobs in Kentucky?
The most popular types of Prompt Engineer jobs in Kentucky are:
What are popular job titles related to Prompt Engineer Internship jobs in Kentucky?
For Prompt Engineer Internship jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer Internship jobs in Kentucky look for?
The top searched job categories for Prompt Engineer Internship jobs in Kentucky are:
$90 - $130/hr
Other
Posted 8 days ago
Job description
About Flow
Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.
About the role
*Note that this is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.
Flow is hiring early career software engineers to help build AI-powered capabilities that let teams author, review, and manage requirements more effectively. You will work alongside experienced engineers on agentic systems engineer and agentic domain engineer workflows, bringing AI into the center of how teams reason about their systems.
This is a role for people early in their careers who are ready for an unusual amount of responsibility and autonomy. You will ship code to production in your first weeks, work directly with customers building rockets, satellites, and aircraft, and learn full-stack and AI engineering from people who have done it before.
What you\'ll do
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Ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.
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Contribute to agentic workflows that help engineers explore designs, simulate changes, and validate requirements.
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Work across the stack, from backend services and APIs to the UI, so you own complete features rather than isolated pieces.
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Help build the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, and observability.
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Talk to customers, watch how they actually use what you built, and iterate quickly.
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Learn the domain. Requirements engineering for hardware is deep, unfamiliar to most software engineers, and the reason our product is hard to copy.
About you
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You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
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Strong programming fundamentals and demonstrated ability to build real software, whether through internships, research, open source, or personal projects you can walk us through.
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Some exposure to modern LLM tooling, whether that is coursework, a side project, or an internship. You do not need production AI experience, but you should be genuinely interested in building with these systems.
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Clear communication. You can explain a technical decision and say when you are stuck.
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Comfortable with ambiguity and eager to work in a fast-moving environment where the roadmap changes and experiments are the norm.
Our stack (AI-leaning)
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TypeScript/Node.js and Python for AI and backend services.
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Modern LLM APIs and orchestration libraries for building agentic workflows.
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Postgres and other managed cloud services for data and state.