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Prompt Engineering Jobs in Portland, OR (NOW HIRING)

Central Business Solutions

AI Engineer

Hillsboro, OR · On-site

Understanding of prompt engineering and evaluation. Central Business Solutions, Inc(A Certified Minority Owned Organization) Checkout our excellent assessment tool: Checkout our job board : Central ...

Tyfone, Inc.

AI Forward Engineer

Portland, OR · On-site

... prompt engineering, function calling, tool use, and multi-step agent patterns hardened for production reliability. • Maintain a model registry -- track which models are in use, for what purpose ...

Varsity Tutors

ChatGPT Tutor

Portland, OR · Remote

$40/hr

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

tyfonecom

AI Forward Engineer

Portland, OR · Remote

Implement prompt engineering, function calling, tool use, and multi-step agent patterns hardened for production reliability. * Maintain a model registry -- track which models are in use, for what ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

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 ...

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 ...

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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 Jun 14, 2026, the average yearly pay for prompt engineering in Portland, OR is $66,788.00, 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 jobs pay $2000 a day?

In the field of prompt engineering, high-paying roles such as AI consultant or senior AI specialist can potentially earn $2000 or more per day, especially for freelancers or contractors with specialized skills in large language models and prompt design. These positions often require extensive experience, advanced knowledge of AI tools, and a strong portfolio of successful projects.

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 do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of natural language processing.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or large organizations.

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.

Which 3 jobs will survive AI?

Prompt engineering is a specialized role that involves designing effective prompts for AI systems, and it is expected to remain relevant as AI advances. Jobs requiring complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and mental health counselors—are also likely to persist because they involve skills that AI cannot easily replicate. Additionally, roles in AI oversight, ethics, and policy development will continue to be important to ensure responsible AI use.
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 June 2026, with employment types broken down into 8% Internship, 68% Full Time, 8% Part Time, 8% Temporary, and 8% Contract. Highlights an 59% In-person, 8% Hybrid, and 33% Remote job distribution, with an average salary of $66,788 per year, or $32.1 per hour.
AI Engineer

AI Engineer

Central Business Solutions, Inc

Hillsboro, OR

Other

Posted 29 days ago

Job description

Role Summary
Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector search pipelines, and lightweight model training for predictive maintenance use cases.
Key Responsibilities
LLM & Inference Engineering:
Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings.
Orchestrate inference pipelines with Python and AWS AI services.
Build reusable components and prompt orchestration flows.
Predictive Analytics & Light Model Training:
Support predictive maintenance using classical ML techniques.
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints.
AWS Engineering:
Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI workflows.
Python Development:
Write modular, testable Python code for inference orchestration and backend integrations.
Collaboration & Delivery:
Work with product and engineering teams; document AI workflows; participate in design reviews.
Must-Have Skills
Strong proficiency in Python.
Hands-on experience with LLM inferencing, RAG architectures, and vector embeddings.
Working knowledge of AWS AI/ML services (SageMaker, Bedrock, Lambda, etc.).
Familiarity with classical ML concepts (regression, classification, anomaly detection).
Experience integrating models into production pipelines.
Understanding of prompt engineering and evaluation.

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