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Entry Level Generative Ai Prompt Engineer Jobs in Seattle, WA

Meta

Research Engineer, Monetization AI

Bellevue, WA

$183K/yr

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

FHLB Des Moines

AI Security Engineer

Seattle, WA · 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 ...

YO AI Labs

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Amazon

Applied Scientist, Internal Audit

Seattle, WA · On-site

... managers, engineers, and more senior scientists to deliver machine learning and generative AI ... e.g., prompt engineering, retrieval-augmented generation, or agentic/tool-using workflows)

Microsoft

Software Engineer

Redmond, WA · On-site

$133K - $219K/yr

... generative AI techniques. • Integrate LLMs and NLP into software solutions for tasks such as ... engineering objectives • Help establish and drive the adoption of good coding standards and ...

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All JobsGenerative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer JobsEntry Level Generative Ai Prompt Engineer Jobs in Seattle, WA

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 Sep 5, 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:

Entry Level Generative Ai Prompt Engineer jobs near you
Infographic showing various Entry Level Generative Ai Prompt Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $78,936 per year, or $38 per hour.

Applied Scientist, Conversational AI ModEling and Learning

Amazon

Bellevue, WA • On-site

Full-time

Posted 18 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints.
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.
Key job responsibilities
As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations

You will analyze, understand and improve user experiences by leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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