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Full Time Prompt Engineering Jobs in Renton, WA (NOW HIRING)

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Senior AI Engineer

Seattle, WA

$140K - $180K/yr

Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI ... The base compensation range for this full-time position is between $140,000 - $180,000 plus ...

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Senior AI Engineer

Seattle, WA

$140K - $180K/yr

Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI ... The base compensation range for this full-time position is between $140,000 - $180,000 plus ...

AZX

ML Engineer (Senior)

Seattle, WA · On-site

$140K - $220K/yr

You'll be one of the first full-time ML engineers and will have an enormous impact on all aspects ... Generative AI and LLM-related capabilities (e.g., prompt engineering, RAG, fine-tuning, LangChain ...

AZX

Senior Engineer (Full Stack)

Seattle, WA · On-site

$140K - $225K/yr

You'll be one of the first full time engineers and will have an enormous impact on all aspects of ... Generative AI e.g. prompt engineering, RAG, fine-tuning, tooling ecosystem Compensation & benefits

OfferUp

AI/ML Engineer

Bellevue, WA · On-site

$140K - $160K/yr

Experience with LLM APIs, prompt engineering, and structured outputs. * Proficiency with async ... In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 ...

Compass

Senior Engineering Manager

Seattle, WA · On-site

$225K - $251K/yr

... like agent inference, prompt tuning, and orchestration) and coordinating the Tier 2 Staff ... You will manage a lean, high-caliber, hybrid team of full-time Compass software engineers-ranging ...

Compass

Engineering Manager

Seattle, WA · On-site

$194K - $215K/yr

You will manage a lean, agile, and high-performing squad consisting of core full-time Compass ... Practical understanding of building applications using Generative AI, including prompt ...

LiveRamp

AI/Automation Engineer (Intern)

Seattle, WA

$30/hr

You will receive the same orientation training as our full-time engineers, you will be matched with ... Help with prompt engineering, troubleshooting, and tuning of AI agents and responses for scoped ...

Uw

AI Agent Builder

Seattle, WA · On-site

This is a full-time hybrid position with the expectation of being in the Seattle, U-District office ... prompt engineering. Strong understanding of retrieval-augmented generation (RAG), embeddings ...

University of Washington

AI Agent Builder

Seattle, WA · On-site

This is a full-time hybrid position with the expectation of being in the Seattle, U-District office ... and prompt engineering. • Strong understanding of retrieval-augmented generation (RAG ...

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Showing results 1-20

All JobsPrompt Engineering JobsFull Time Prompt Engineering JobsFull Time Prompt Engineering Jobs in Renton, WA

Full Time Prompt Engineering information

See Renton, WA salary details

$52.3K

$165.2K

$195.7K

How much do full time prompt engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for full time prompt engineering in Renton, WA is $165,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $194,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized technical roles can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior or executive levels.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models, making prompt engineers increasingly in demand. Skills in natural language processing, machine learning, and familiarity with AI tools are valuable for these roles, which are often found in AI development and research environments.

What is the difference between Full Time Prompt Engineering vs Data Scientist?

AspectFull Time Prompt EngineeringData Scientist
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI toolsBachelor's/Master's in CS, Statistics, or related; experience with data analysis and modeling
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, finance, healthcare; often office-based or remote
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Full Time Prompt Engineering focuses on designing and optimizing prompts for AI models, primarily in NLP tasks. Data Scientists analyze data to build models and generate insights. While both roles require technical skills and often overlap in AI projects, Prompt Engineers specialize in prompt design, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Time Prompt Engineer, and why are they important?

To thrive as a Full Time Prompt Engineer, you need a solid background in computer science, natural language processing, and machine learning, often supported by a relevant degree or experience with AI models. Familiarity with tools like Python, large language model APIs (such as OpenAI or Anthropic), and prompt optimization frameworks is typically required. Strong analytical thinking, creativity, and clear written communication are crucial soft skills for designing effective prompts and collaborating with multidisciplinary teams. These skills ensure the development of high-performing AI solutions and the ability to translate user needs into actionable, efficient prompts.

What are some common challenges faced by Full Time Prompt Engineers, and how can they overcome them?

Full Time Prompt Engineers often encounter the challenge of crafting prompts that consistently yield accurate, relevant, and unbiased responses from AI models. Adapting to rapidly evolving AI technologies and understanding nuanced model behaviors can also be demanding. Overcoming these challenges requires staying current with the latest AI developments, collaborating closely with data scientists and developers, and continuously testing and refining prompts based on feedback and performance metrics. Embracing a mindset of experimentation and regular communication within cross-functional teams is key to success in this dynamic field.

What is prompt engineering?

Prompt engineering is the practice of designing, testing, and refining the inputs (prompts) given to artificial intelligence models, such as large language models, to achieve specific and desirable outputs. This role involves understanding how AI models interpret language and using that knowledge to create prompts that guide the model toward accurate, relevant, or creative responses. Prompt engineers often work closely with developers, data scientists, and product teams to optimize AI performance for various applications. As AI models become more advanced, prompt engineering has become an essential skill for leveraging their full potential.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries are rare and generally reflect seniority, expertise, and significant contributions to AI development.

What job makes $10,000 a month without a degree?

Full Time Prompt Engineering is a role that can potentially earn $10,000 or more per month, especially for those with strong skills in AI, machine learning, and prompt design. Success in this field depends on expertise, portfolio, and the ability to deliver high-quality work, often in freelance or contract settings without requiring a formal degree.
What job categories do people searching Full Time Prompt Engineering jobs in Renton, WA look for? The top searched job categories for Full Time Prompt Engineering jobs in Renton, WA are:
Full Time Prompt Engineering jobs near you

.Net Senior Solution Architect with Gen AI experience (Bellevue/Redmond WA) Full Time Job

TestingXperts Inc. DBA Damcosoft

Bellevue, WA • On-site

Full-time

Posted 5 days ago

Job description

Job Title: .NET Solution Architect with GenAI Experience

Location: [(Bellevue/Redmond WA) ] Onsite
Duration: [Full Time Job]
 

Job Summary:

We are looking for an experienced .NET Architect with hands-on expertise in Generative AI (GenAI) technologies to design and develop scalable, intelligent, and modern enterprise applications. The ideal candidate should have a deep understanding of the Microsoft technology stack, cloud platforms (preferably Azure), and the ability to integrate AI/ML models, including large language models (LLMs), into enterprise systems.

Key Responsibilities:

  • Design and architect end-to-end enterprise applications using .NET Core / .NET 6+, C#, and Azure services.

  • Develop and integrate GenAI-based solutions such as chatbots, copilots, document summarization, and natural language interfaces.

  • Collaborate with cross-functional teams to translate business requirements into technical architecture and design.

  • Optimize system performance, scalability, and reliability.

  • Implement APIs, microservices, and cloud-native solutions using Azure App Services, Functions, and Kubernetes.

  • Work closely with data scientists and AI engineers to integrate LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.) into enterprise workflows.

  • Ensure security, compliance, and governance in AI-integrated applications.

  • Mentor and guide development teams on .NET best practices and AI integration patterns.

Required Skills & Experience:

  • 10+ years of experience in .NET / C# development and architecture.

  • Strong experience with .NET Core, Entity Framework, Web API, RESTful services, and microservices architecture.

  • Proven experience in designing and deploying cloud-native applications on Azure.

  • Hands-on experience with Generative AI frameworks and LLM integration (e.g., Azure OpenAI, OpenAI API, LangChain, Semantic Kernel).

  • Familiarity with prompt engineering, RAG (Retrieval Augmented Generation), and embedding-based search.

  • Solid understanding of SQL / NoSQL databases, CI/CD pipelines, and DevOps practices.

  • Excellent communication and leadership skills.

Preferred Qualifications:

  • Azure certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate).

  • Experience with Python or Node.js for AI model integration.

  • Exposure to MLOps and data pipelines.

  • Experience with Power Platform, Copilot Studio, or other AI-enablement tools.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.