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Prompt Engineer Jobs in Beaverton, OR (NOW HIRING)

Holland & Knight

AI Legal Engineer

Portland, OR · On-site

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code, Augment, Copilot, or equivalent is a force multiplier in your workflow, not a novelty * Expertise in ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice Claude Code, Augment, Copilot, or equivalent is a force multiplier in your workflow, not a novelty * Expertise in ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Portland, OR · On-site

$108K - $143K/yr

Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid ...

Cisco

Software Engineer, Backend

Hillsboro, OR

$155K - $222K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

Cisco

Software Engineer, Backend

Portland, OR

$155K - $222K/yr

Able to comment on the difference between 'prompt engineering', 'context engineering', and 'agentic engineering'. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

... prompt engineering for LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Beaverton, OR

Prompt Engineer information

See Beaverton, OR salary details

$10

$48

$91

How much do prompt engineer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for prompt engineer in Beaverton, OR is $48.99, according to ZipRecruiter salary data. Most workers in this role earn between $37.26 and $63.27 per hour, depending on experience, location, and employer.

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

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are the most commonly searched types of Prompt Engineer jobs in Beaverton, OR? The most popular types of Prompt Engineer jobs in Beaverton, OR are:
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Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Beaverton, OR as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,902 per year, or $49 per hour.

AI-forward Software Engineer

JS Consulting

Beaverton, OR • On-site

Contractor

Re-posted 27 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.