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Prompt Engineering Jobs in Portland, OR (NOW HIRING)

Varsity Tutors

ChatGPT Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Intel

Software Engineer

Hillsboro, OR · On-site

End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows. * Foundations in data structures ...

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Showing results 1-20

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Portland, OR

Prompt Engineering information

See Portland, OR salary details

$34.5K

$66.8K

$101.3K

How much do prompt engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for prompt engineering in Portland, OR is $66,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $76,400.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are the most commonly searched types of Prompt Engineering jobs in Portland, OR? The most popular types of Prompt Engineering jobs in Portland, OR are:
What are popular job titles related to Prompt Engineering jobs in Portland, OR? For Prompt Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Portland, OR look for? The top searched job categories for Prompt Engineering jobs in Portland, OR are:
What cities near Portland, OR are hiring for Prompt Engineering jobs? Cities near Portland, OR with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Portland, OR as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,797 per year, or $32.1 per hour.
AI-forward Software Engineer

AI-forward Software Engineer

JS Consulting

Beaverton, OR • On-site

Contractor

Posted 7 days ago

Job description

Job Title- AI-forward Software Engineer

Project Location – (Remote + international travel) (expenses paid by client for the international travel)

Duration- 6+ months contract

Visa- USC/ GC/ GCEAD/ H4EAD

Must have Valid LinkedIn profile.

Job Description-: This is a unique position as it'll require hands-on coding in BOTH GitHub Copilot AND Amazon Q, previous mentorship/training experience (think: paired programming, or DevRel type work), and will very likely require international travel (India is confirmed as a primary location, possibly Europe and, South America). 
These individuals will be supporting ~50 engineers, over 2-week sprints. for a total of 30 weeks. The rotation, work schedule, and travel plans are all up in the air, so we need to talk to contractors that'll be flexible. 

GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer (Remote + international travel)

We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI.
This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below.

 Key Responsibilities

  • Design and deliver structured, hands-on developer sprints focused on GitHub Copilot and Amazon Q.
  • Facilitate live coding sessions, demonstrations, and collaborative labs.
  • Mentor developers through real-world challenges, providing guidance on prompt engineering, debugging, and feature implementation.
  • Develop and maintain instructional materials, including curriculum, documentation, and best-practice guides.
  • Adapt instructional strategies based on participant feedback and learning progress.
  • Promote responsible AI usage, including security, ethics, and data privacy considerations.

 Required Skills & Proficiencies

  • Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration
  • Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command.
  • Advanced prompt engineering skills for both platforms.
  • Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
  • Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
  • Strong problem-solving mindset and diagnostic skills.
  • Passion for generative AI and developer enablement.

 Instructional & Communication Skills

  • Advanced curriculum development and public speaking abilities.
  • Expert-level live coding and demonstration skills.
  • Strong mentoring and facilitation capabilities.
  • Intermediate technical writing skills for post-sprint resources.

 Technical & Development Skills

  • Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java.
  • Expert fluency with IDEs such as VS Code and JetBrains.
  • Deep understanding of GitHub Flow, Agile practices, and version control.
  • Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD).
  • Strong grasp of testing and debugging strategies.

 Preferred Qualifications:

  • Certifications in cloud platforms (e.g., AWS) or DevOps practices.
  • Contributions to open-source or developer communities.
  • Patience, empathy, and adaptability in instructional settings.