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Entry Level Generative Ai Prompt Engineer Jobs in Seattle, WA

... engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve ... training, prompt engineering, and deploying LLMs for applications such as natural language ...

Collaborate with world-class researchers and ML engineers to bring research ideas to creative ... Research or industry experience in training Generative AI models (pre-training and/or post-training ...

Software Engineer III, Generative AI, Core

Kirkland, WA ยท On-site

$65.50 - $87.75/hr

... more programming languages, or 1 year of experience with an advanced degree in an industry setting. * Experience in Generative AI (e.g., large language models, multi-modal, large vision models)

Design and implement generative modeling solutions for data augmentation * Develop and deploy ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

AI Security Engineer

Seattle, WA ยท On-site

$88 - $142/hr

... prompt injection, jailbreak attacks, data leakage through model outputs, and adversarial attacks ... NIST AI RMF, NIST Generative AI Profile, ISO/IEC 42001.- Experience with the Azure Well-Architected ...

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Entry Level Generative Ai Prompt Engineer information

See Seattle, WA salary details

$34.1K

$78.9K

$134.3K

How much do entry level generative ai prompt engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for entry level generative ai prompt engineer in Seattle, WA is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $89,300.00 per year, depending on experience, location, and employer.

What is an entry level generative AI prompt engineer?

Entry Level Generative AI Prompt Engineers are professionals who design, test, and refine prompts to interact with generative AI models, such as those used in chatbots or content creation tools. Their role involves understanding how AI responds to different inputs, troubleshooting issues, and optimizing prompts for accuracy and relevance. They typically collaborate with developers, data scientists, and content teams to improve AI outputs for various applications. This entry-level position is ideal for those with basic programming knowledge, strong communication skills, and an interest in artificial intelligence.

What are the key skills and qualifications needed to thrive as an entry level generative AI prompt engineer?

To thrive as an Entry Level Generative AI Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often in Python), and familiarity with AI concepts, typically supported by a relevant degree or coursework. Experience with AI platforms like OpenAI, Hugging Face, or Google Cloud AI, as well as prompt design tools, is commonly required. Creativity, analytical thinking, and strong written communication help you craft effective prompts and collaborate with cross-functional teams. These skills are crucial for developing high-quality AI outputs and ensuring solutions align with user needs and project goals.

What are some common challenges faced by entry level generative AI prompt engineers, and how can they overcome them?

Entry-level generative AI prompt engineers often encounter challenges such as crafting effective prompts that yield reliable outputs, staying current with rapidly evolving AI models, and interpreting ambiguous model responses. Overcoming these challenges requires continuous learning, experimentation, and collaboration with more experienced engineers or data scientists. Participating in team discussions, reviewing prompt libraries, and regularly testing prompts with different models can help newcomers build their expertise and confidence in the role.

What is the difference between Entry Level Generative Ai Prompt Engineer vs Entry Level Data Scientist?

AspectEntry Level Generative Ai Prompt EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related; basic understanding of AI modelsBachelor's in CS, Statistics, or related; knowledge of data analysis
Work EnvironmentAI labs, tech companies, startupsData analysis teams, research institutions, tech firms
Industry UsageAI development, NLP, chatbot creationData analysis, predictive modeling, research

While both roles require a foundational understanding of technology and data, Entry Level Generative Ai Prompt Engineers focus on designing prompts for AI models, especially in NLP, whereas Entry Level Data Scientists analyze data to derive insights. The roles overlap in technical skills but differ in application and focus areas.

What are the most commonly searched types of Generative Ai Prompt Engineer jobs in Seattle, WA?

The most popular types of Generative Ai Prompt Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA?

For Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Generative Ai Prompt Engineer jobs in Seattle, WA are:

Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $78,936 per year, or $38 per hour.

AI Prompt Designer (Generative Content Systems)

1 point system

Redmond, WA โ€ข Remote

Contractor

Re-posted 19 days ago


Job description

Top 3 Must-Have Skills & years of experience for each

  • Prompt design & iteration for generative AI systems — 2+ years (or equivalent hands-on experience)
  • Structured content/data handling (JSON, schemas, rule-based systems) — 2+ years
  • Analytical problem solving (testing outputs, identifying failure patterns, improving systems) — 2+ years