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Ai Prompt Engineer Jobs in Bothell, WA (NOW HIRING)

Avante

Senior Data Engineer

Seattle, WA · Hybrid

$170K - $210K/yr

... AI prompt engineering and LLM application development - Experience managing cloud infra such as Kubernetes clusters - Familiarity with clinical and medical insurance claims data Our Tech Stack - DBT ...

Avante

Senior Data Engineer

Seattle, WA · On-site

$170K - $210K/yr

Experience with AI prompt engineering and LLM application development * Experience managing cloud infra such as Kubernetes clusters * Familiarity with clinical and medical insurance claims data Our ...

Premera Blue Cross

AI Engineer III

Mountlake Terrace, WA · On-site

$62.50 - $84/hr

AI Engineer III As an AI Engineer III, you will work within a team responsible for taking AI/ML ... Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or ...

Premera Blue Cross

AI Engineer III

Mountlake Terrace, WA

$62.50 - $84/hr

AI Engineer III As an AI Engineer III, you will work within a team responsible for taking AI/ML ... Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or ...

Gradial

Applied AI Engineer

Seattle, WA · On-site

They are seeking an Applied AI Engineer to build the next generation of agentic systems, combining ... OpenAI APIs, Anthropic APIs). • Practical understanding of LLMs, prompt engineering and agentic ...

Smartsheet

Senior Software Engineer I (Automation)

Bellevue, WA · On-site +1

$138K - $182K/yr

Mentor junior/mid-level engineers on AI prompt engineering, MCP server development, and UiPath best practices * Participate in a production support weekly rotation, taking ownership of complex issue ...

Gradial

Applied AI Engineer

Seattle, WA · On-site

They are seeking an Applied AI Engineer to build agentic systems that utilize AI to solve real user ... OpenAI APIs, Anthropic APIs). • Practical understanding of LLMs, prompt engineering and agentic ...

Gradial

Applied AI Engineer

Seattle, WA · On-site

They are seeking an Applied AI Engineer to build the next generation of agentic systems by ... OpenAI APIs, Anthropic APIs). • Practical understanding of LLMs, prompt engineering and agentic ...

ZS

Lead AI Engineer

Bellevue, WA · On-site

$155K - $167K/yr

What you'll do: Lead AI Engineer in the Platforms and Products will... We are seeking a highly ... Experiment with prompt engineering , structured outputs (JSON schemas/function calling), and tool ...

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine ... You must have a solid understanding LLM prompt development, You will be working as a part of a ...

Gradial

Applied AI Engineer

Seattle, WA

$130K - $220K/yr

The Role We're looking for an Applied AI Engineer to help build the next generation of agentic ... Practical understanding of LLMs, prompt engineering and agentic architectures. * Experience ...

Kalles Group

Senior Consultant - AI Engineer

Seattle, WA · On-site

$175K - $200K/yr

Support data preparation, prompt engineering, and evaluation to improve model effectiveness * Stay current on emerging AI technologies and identify opportunities to enhance solutions ABOUT YOU:

Metropolis

Senior AI Engineer

Seattle, WA · On-site

$170K - $200K/yr

Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team ... Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool ...

Metropolis

Senior AI Engineer

Seattle, WA

$170K - $200K/yr

Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team ... Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Bothell, WA

Ai Prompt Engineer information

See Bothell, WA salary details

$28

$59

$85

How much do ai prompt engineer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for ai prompt engineer in Bothell, WA is $59.95, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $69.62 per hour, depending on experience, location, and employer.

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized AI consultants earning top-tier salaries. These positions often require advanced skills in AI development, leadership experience, and may involve working in large tech companies or innovative startups with competitive compensation packages.

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 engineers make $500,000?

Senior AI Prompt Engineers and machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Achieving this level often requires expertise in large language models, deep learning, and strong problem-solving abilities, along with a track record of impactful projects.
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Ai Prompt Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Avante

Seattle, WA • Hybrid

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

Ask any employee to explain their benefits, and you'll likely get a confused shrug. Ask any HR leader if their benefits investment is working, and you'll get an honest "I don't know." For employees, benefits are confusing and overwhelming. For HR and finance leaders, benefits are the second-largest expense, but they lack the visibility to know what's working and what's wasted.

At Avante, we're changing that. We're the first AI-native benefits platform built to turn benefits complexity into clarity. For employees, Avante acts like a personal guide, making benefits simple to understand and use. For leaders, Avante unifies fragmented data and delivers real-time insights so they can improve programs, control costs, and prove ROI.

We're based in Seattle and work 4 days a week in the office (one day remote), we're growing quickly, and are looking for a data engineer who can build and maintain the pipelines and infrastructure that power our AI systems and internal analysis. You'll work across the full data lifecycle - from ingestion and transformation to model deployment and monitoring - while using modern AI-assisted development tools to accelerate your work. This is a hands-on role for someone who cares about building reliable, well-documented systems and wants to work at the intersection of data engineering, and applied AI.

What You Will Do

- Own and design DBT models in Snowflake with proper testing and documentation

- Build and architect Python data pipelines that are reliable, testable, and observable

- Orchestrate workflows using Argo-Workflows running on Kubernetes

- Transform raw source data into clean, well-modeled datasets for analysts and AI systems

- Manage and improve scalable Azure cloud data infrastructure

- Work on RAG pipelines and vector stores for unstructured data sources

- Stay current with developments in applied AI and bring relevant innovations to the team

- Use tools like Claude Code and Cursor as part of your daily workflow

- Help establish team practices for effective human-AI collaboration in engineering

- Contribute to adjacent full stack and platform engineering projects

What We Are Looking For

- 5+ years experience building scalable data pipelines and warehouses

- Extensive experience with SQL based transforms in DBT or similar technologies

- Experience operating as a technical lead on a data team

- A passion for data quality and careful testing and validation

- Fluency in python with an emphasis on readable, maintainable code

- Familiarity with Terraform and K8s container orchestration

- Ability to communicate technical concepts clearly to diverse audiences, including internal and external stakeholders

- Flexibility and willingness to wear many hats and help out wherever it is needed

Nice to Have

- Early stage startup experience

- Analysis or analytics engineering experience

- Full stack development experience

- Hands-on MLOps experience (model training pipelines, deployment, monitoring)

- Experience with AI prompt engineering and LLM application development

- Experience managing cloud infra such as Kubernetes clusters

- Familiarity with clinical and medical insurance claims data

Our Tech Stack

- DBT for transformation workflows and data modeling

- Snowflake for data warehousing

- Python for data loading, tokenization, and manipulation (Pandas, Polars) and integration with our AI platform

- Data orchestration using Argo-Workflow DAGs

- Azure cloud infrastructure with Kubernetes

Our Company Values:

- Beat Yesterday - Continuous improvement, innovation, and growth

- Embrace Type 2 Fun - Resilience and positivity in the face of challenges

- Act Like an Owner - Initiative, accountability, and focus on outcomes

- Stay Hungry, Stay Curious - Humility, curiosity, and bold thinking

$170,000 - $210,000 a year
Benefits include: stock options, medical/dental/vision, and 401k

**Interview Process:**

1. Initial screen with our recruiters

2. Phone screen with the hiring manager

3. On-Site Interview Loop

1. Technical interview focused on real-world problem solving (no whiteboard algorithms!)

2. Behavioral interview to explore your approach to teamwork and challenges

3. 1:1 with our PM

4. Final loop with our Head of Engineering

4. Final conversation with our CEO

If you're excited about solving complex data challenges in the benefits space while making a meaningful impact on businesses and their employees, we'd love to hear from you!

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