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Ai Prompt Engineer Jobs in Oregon (NOW HIRING)

Five9 is one of the world's leading cloud contact center platforms, and our AI-powered Automated ... We are seeking three WEM AQM Prompt Engineers to join this new capability team. These roles sit at ...

OR

$104K - $143K/yr

Our AI-powered Automated Quality Management (AQM) product is transforming how enterprises measure ... As we build out our dedicated AQM Prompt Engineering capability within Specialized Services, we are ...

Staff Software Engineer, Applied AI

OR · Remote

$200K - $240K/yr

Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on ... Advise on when to apply an AI/LLM solution, and when not to: championing AI where it drives speed ...

Familiarity with: * adversarial AI, * prompt injection, * model abuse, * or AI red teaming * Experience integrating security controls into large-scale engineering workflows * SaaS, cloud-native, or ...

Five9 is looking for a Solution Consultant to drive solution discovery and design of Five9's AI ... Prompt Engineering * Machine Learning * LLMs * CCaaS * UCaaS * Automated Quality Management

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.

AI Engineer

OR · On-site +1

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering. * Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

AI Vibe Coding Engineer

OR · Remote

$64K - $72K/yr

Strong understanding of LLMs, RAG architectures, prompt engineering, AI agents, and MCP Preferred Qualification * Experience building GenAI applications * Familiarity with vector databases and ...

As an AI Solutions Specialist, you will be a hands-on contributor on PointClickCare's Customer ... You will use tools like prompt engineering, workflow orchestration platforms (n8n, Make, Zapier ...

Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.

... 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 ...

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

New

OR · On-site

Translate these standards into prompt templates, tool configurations, and policyascode so they are ... Integrate AI review signals with our SRE observability stack (logs, metrics, traces) to correlate ...

Temporary AI Engineer

OR · On-site +1

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering. * Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

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Ai Prompt Engineer information

See Oregon salary details

$26

$56

$81

How much do ai prompt engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for ai prompt engineer in Oregon is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $65.82 per hour, depending on experience, location, and employer.

What is the job of an AI prompt engineer?

An AI prompt engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like GPT to ensure accurate and relevant outputs, often requiring skills in programming, linguistics, and AI concepts.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

What is an AI Prompt Engineer job?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools, and job growth is driven by expanding AI applications across industries.

What are the typical daily tasks of an AI Prompt Engineer?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

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

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Oregon? The most popular types of Ai Prompt Engineer jobs in Oregon are:
What are popular job titles related to Ai Prompt Engineer jobs in Oregon? For Ai Prompt Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Prompt Engineer jobs? Cities in Oregon with the most Ai Prompt Engineer job openings:
Infographic showing various Ai Prompt Engineer job openings in Oregon as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $117,942 per year, or $56.7 per hour.

Other

Posted 8 days ago


Job description


Five9 is one of the world's leading cloud contact center platforms, and our AI-powered Automated Quality Management (AQM) product is transforming how enterprises evaluate and improve agent performance. To support the accelerating adoption of Five9 AQM across our customer base, the Specialized Services team is building a dedicated Prompt Engineering practice.


We are seeking three WEM AQM Prompt Engineers to join this new capability team. These roles sit at the intersection of contact center domain expertise and applied AI - designing, testing, and optimizing the LLM prompts that power Five9 AQM's automated evaluation criteria. If you have spent years building Speech Analytics categories in Verint, category sets in NICE, or Topics in Genesys, you already think and work the way this role requires.


Why Your Speech Analytics Experience Maps Directly to This Role

The Five9 AQM Prompt Engineering workflow follows the same disciplined, iterative process that experienced Speech Analytics analysts use every day:

Speech Analytics / Verint AQMFive9 AQM Prompt EngineeringDefine category intent & scope Define prompt intent & evaluation scopeSelect & tag representative call samples Select evaluation call samplesIteratively tune keyword / phrase sets Iteratively refine prompt wording & logicTest against live call traffic Test prompt outputs against real callsValidate recall & precision metrics Validate pass / fail accuracy metricsDocument & hand off to QA team Document prompts for QA workflow


Key Responsibilities
Design, author, and iteratively optimize LLM evaluation prompts within Five9 AQM, translating quality management frameworks into accurate, testable prompt logic.
Partner with customers and internal delivery consultants during AQM implementation engagements to define evaluation scope, intent, and pass/fail criteria.
Select and analyses representative call samples to validate prompt performance; apply precision and recall thinking to measure and improve prompt accuracy.
Maintain a structured prompt library - versioning prompts, documenting changes, and managing prompt lifecycle from initial design through to production handover.
Collaborate with QA and Implementation teams to integrate prompt outputs into broader QM workflow design, including scoring forms and reporting.
Identify prompt failure patterns and apply structured debugging techniques, including chain-of-thought adjustments, instruction clarity improvements, and few-shot example tuning.
Contribute to the development of Five9 AQM prompt engineering standards, best practice documentation, and reusable prompt templates.
Support pre-sales activities by demonstrating Five9 AQM prompt capabilities and articulating the value of AI-driven quality evaluation to prospective customers.
Stay current with LLM developments, prompt engineering research, and the evolving Five9 AQM product roadmap.


Ideal Candidate Profile
The strongest candidates will come from a Speech Analytics background with hands-on experience designing and optimizing categories, category sets, or topic models in platforms such as Verint, NICE CX one, or Genesys - and who are ready to apply that same analytical rigor to LLM prompt design.


Key Requirements
Minimum 3 years' hands-on experience as a Speech Analytics Analyst, QM Analyst, or WEM Application Consultant with deep involvement in category/topic design and optimization in Verint (Categories/CategorySets), NICE (Category Sets), Genesys (Topics), or equivalent platforms.
Demonstrable prompt engineering skills - either via formal qualification or a verifiable portfolio of prompt design work (production prompts, evaluation outputs, or documented iteration cycles).
Strong understanding of contact center Quality Management processes, evaluation frameworks, and scoring methodologies.
Experience selecting and analyzing call/interaction samples for model validation; comfortable applying precision, recall, and F1-score thinking to prompt performance measurement.
Proven ability to translate business and QM requirements into structured, testable evaluation logic.
Excellent written communication skills - prompt engineering is fundamentally a writing discipline.
Experience working in a customer-facing or professional services environment.
BA/BS or equivalent experience.


Preferred Qualifications
Formal prompt engineering certification or coursework (e.g., DeepLearning.AI Prompt Engineering for Developers, Anthropic Prompt Engineering certification, OpenAI Prompt Engineering course, or equivalent).
Hands-on experience with one or more major LLM platforms (OpenAI, Anthropic Claude, Google Gemini, or similar) including direct API or playground usage.
Prior exposure to Five9 AQM or equivalent AI-native QM solutions.
Experience with NICE Enlighten, Qualtrics, Medallia, or other AI-driven analytics platforms.
Familiarity with JSON, basic scripting, or no-code automation tools - useful for prompt testing workflows.
Experience developing training materials or internal knowledge base documentation.
Background in compliance-driven QM environments (financial services, healthcare, utilities).


Key Competencies
Analytical Rigor - applies structured, data-driven thinking to prompt design and performance measurement.
Linguistic Precision - writes clear, unambiguous instructions; understands how wording choices affect model behavior.
Iterative Mindset - comfortable with test-and-learn cycles; treats prompt refinement as an ongoing discipline, not a one-time task.
Domain Expertise - deep understanding of contact center operations, QM frameworks, and agent evaluation best practices.
Customer Orientation - able to translate client QM goals into technical prompt requirements and communicate findings clearly to non-technical stakeholders.
Intellectual Curiosity - keeps pace with the rapidly evolving LLM and generative AI landscape.


About Five9 WEM Specialized Services
The Specialized Services team within Five9 Professional Services delivers expert-led implementation, optimization, and advisory engagements across the Five9 WEM portfolio. Our AQM Prompt Engineering practice is a newly established center of excellence, designed to ensure that customers realize the full potential of Five9's AI-powered
quality management capabilities. These roles offer the opportunity to be founding members of a high-impact team at the leading edge of AI adoption in the contact center industry.