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Prompt Engineering Internship Jobs in Seattle, WA

Jobtailor

Engineer 1 - AI Agentic Solutions

Seattle, WA · On-site

$120 - $170/hr

Coursework, personal projects, or internship experience involving prompt engineering, retrieval-augmented generation (RAG), or vector databases. * Exposure to cloud platforms such as AWS or GCP.

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

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Prompt Engineering Internship information

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How much do prompt engineering internship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for prompt engineering internship in Seattle, WA is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.80 per hour, depending on experience, location, and employer.

What is a prompt engineering internship?

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 a prompt engineering internship?

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.

Are prompt engineering interns still in demand?

Prompt engineering interns are increasingly in demand as organizations seek to develop and optimize AI language models. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable for these roles, which are often part of broader AI and data science teams.

What are the most commonly searched types of Prompt Engineering jobs in Seattle, WA?

The most popular types of Prompt Engineering jobs in Seattle, WA are:

What are popular job titles related to Prompt Engineering Internship jobs in Seattle, WA?

For Prompt Engineering Internship jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering Internship jobs in Seattle, WA look for?

The top searched job categories for Prompt Engineering Internship jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Prompt Engineering Internship jobs?

Cities near Seattle, WA with the most Prompt Engineering Internship job openings:

Prompt Engineering Internship jobs near you
Infographic showing various Prompt Engineering Internship job openings in Seattle, WA as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $45,719 per year, or $22 per hour.

Engineer 1 - AI Agentic Solutions

Seattle, WA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $170/hr

Other

Posted 7 days ago

Job description

  • Implement individual components of agentic solutions — tool integrations, prompt templates, retrieval steps — under the direction of senior engineers, writing clean, well-tested code and documenting your work clearly.
  • Learn how the team applies context engineering — what an agent sees, when, and why — and actively seek out knowledge of LLMs, agentic frameworks, and prompt engineering to apply to your work.
  • Help build and run evaluation scripts and offline benchmarks to check that agent behavior is safe, accurate, and reliable.
  • Participate in on-call rotations and design reviews, learning to debug issues and surface trade-offs on the specific functions or components you own.
  • Add basic instrumentation — logging, metrics, alerts — to the systems you build, and follow Nordstrom's engineering and security standards, including secure handling of sensitive data.
  • Collaborate with teammates across engineering, product, and business stakeholders to understand how your work fits into the larger solution.
Requirements
  • 1+ years of professional software engineering experience (internships count), or a relevant certification (e.g. bootcamp).
  • AI Fluency — Required: Some hands-on exposure to LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.), whether through coursework, projects, internships, or professional experience.
  • Genuine curiosity about agentic AI — how agents use tools, retrieve context, and take actions — and a desire to build production skills in this space.
  • Solid CS fundamentals — data structures, algorithms, and object-oriented design — along with familiarity with RESTful APIs, JSON, and how services communicate with one another.
  • Basic understanding of software testing practices and version control (e.g. Git).
  • Willingness to learn modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, or the Claude Agent SDK.
  • Strong verbal and written communication skills, and a collaborative, feedback-seeking mindset.
  • Coursework, personal projects, or internship experience involving prompt engineering, retrieval-augmented generation (RAG), or vector databases.
  • Exposure to cloud platforms such as AWS or GCP.
  • Familiarity with containerization technologies (Docker) and CI/CD basics.
  • Interest or coursework in retail, e-commerce, or supply chain problem spaces.
  • Any contributions to open-source AI projects or personal experimentation with LLM applications.
Core Competencies

Demonstrates proficiency in software engineering with a focus on AI applications, including hands-on experience with LLMs and agentic frameworks. Capable of implementing robust solutions while adhering to engineering standards and collaborating effectively with cross-functional teams.

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