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Ai Coding Jobs in Seattle, WA (NOW HIRING)

SpangleAI

Technical Product Manager, AI

Bellevue, WA · On-site

$188K - $217K/yr

Build working prototypes yourself using AI coding agents and modern tooling (Claude Code, Cursor, LLM APIs) to validate feasibility and de-risk designs before committing engineering resources.

Bristol-Myers Squibb Company

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

Build and maintain CI/CD pipelines, infrastructure-as-code, automated testing, evaluation frameworks, and release processes for cloud-native AI applications. * Measure and improve reliability ...

Bristol Myers Squibb

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

Build and maintain CI/CD pipelines, infrastructure-as-code, automated testing, evaluation frameworks, and release processes for cloud-native AI applications. * Measure and improve reliability ...

Microsoft

Software Engineer 2 - CoreAI

Redmond, WA · On-site

We are looking for an engineer who is comfortable incorporating AI-assisted development into day-to-day work and using approved tools to understand code, plan changes, generate and refactor code ...

Front Door Defense

Software & AI Engineer III

Seattle, WA · On-site

$164.65 - $230.51/hr

Actively participate in code reviews, design discussions, and embrace modern development practices ... Verifiable experience using AI coding assistants (e.g., Claude Code, VSCode extensions, Cursor) in ...

New

Blue Origin, LLC

Software & AI Engineer III

Seattle, WA · On-site

$164K - $230K/yr

Actively participate in code reviews, design discussions, and embrace modern development practices ... Verifiable experience using AI coding assistants (e.g., Claude Code, VSCode extensions, Cursor) in ...

Blue Origin

Software & AI Engineer III

Seattle, WA

$164K - $230K/yr

Actively participate in code reviews, design discussions, and embrace modern development practices ... Verifiable experience using AI coding assistants (e.g., Claude Code, VSCode extensions, Cursor) in ...

FirstMate

Software Engineer

Seattle, WA · On-site

Fluent in the latest AI coding techniques beyond just the top level wrappers like Cursor or Copilot. Company : Founded in , the company is headquartered in , , with a team of 51-200 employees. The ...

Jobtailor

Senior Full Stack Software Engineer

Seattle, WA · On-site

$150 - $190/hr

Experience with AI coding tools and a good understanding of when it is appropriate to move quickly with these tools versus when it is important for human oversight. * Experience with AWS or other ...

New

Porch.com, Inc.

Senior Software Engineer, Insurance

Seattle, WA · On-site +1

$139K - $183K/yr

Use agentic AI coding tools as your primary development methodology for the platform build, not as an experimental side channel. * Work within the team's agent configuration patterns, custom skills ...

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All JobsAi Coding JobsAi Coding Jobs in Seattle, WA

Ai Coding information

See Seattle, WA salary details

$15

$37

$62

How much do ai coding jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for ai coding in Seattle, WA is $37.58, according to ZipRecruiter salary data. Most workers in this role earn between $28.46 and $45.43 per hour, depending on experience, location, and employer.

What is an AI coding?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

What skills and qualifications are needed for AI coding?

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

How do I become an AI coder?

To become an AI coder, you should develop strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain knowledge of algorithms and data structures. Pursuing relevant education, such as a degree in computer science or related fields, and working on AI projects or internships can also help build practical experience.

What does an AI coder do?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

How difficult is AI coding?

AI coding as a job involves understanding programming languages like Python, machine learning frameworks, and data handling, which can be challenging for beginners. It requires strong problem-solving skills, knowledge of algorithms, and often a background in mathematics or computer science. Continuous learning and practical experience are essential to become proficient in this field.
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Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Seattle, WA as of August 2026, with employment types broken down into 62% Full Time, 20% Part Time, 6% Temporary, and 12% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $78,163 per year, or $37.6 per hour.

Staff SW Systems Engineer -Agentic Product Engineer

Extreme Networks

Seattle, WA • On-site

Full-time

Re-posted yesterday

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.

Position : Agentic Product Engineer /Staff SW Systems Engineer

Experience : 8 to 14 Years Experience

Skills : Python,TypeScript or JavaScript,AI coding agents Claude Code, Copilot, Cursor, Anthropic SDK or Microsoft Agent Framework or LangGraph, MCP (Model Context Protocol)

Why Join Extreme Networks 

There has never been a better time to join Extreme Networks. Through strategic acquisitions and an expanded go-to-market strategy, we have significantly broadened our portfolio and unlocked tremendous opportunities for growth across regions. 

Recognized as a Technology Leader in the Gartner Magic Quadrant, Extreme is equally committed to building an inclusive, people-first culture. Diversity, inclusion, and equality are core to who we are. We believe employees thrive because of their differences - not despite them - and we are proud to foster an environment where every Extremist can do their best work. 

Come become part of something big with us. We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East. 

About This Team 

We are a newly formed, small, high-impact team with a strategic mandate: accelerate Extreme's adoption of AI-assisted ways of working across the company. We design and build internal AI-powered tools and systems used by Extreme's engineering and business teams to move faster, with higher quality. 

The team reports directly to senior executive leadership. You will work closely with the team lead and alongside a small group of engineers with high ownership over what gets built and shipped. 

About the Role 

You are a full-stack builder who takes a spec and owns it end-to-end: design, implementation, testing, and deployment. You work with AI coding agents as your primary execution tool - not autocomplete, but agentic workflows where you direct, evaluate, and iterate on agent-generated output to ship production-grade software faster and with higher quality. 

This is not a specialization role. You own your surface from inception to production. Backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, cloud deployment - you handle the full lifecycle without handoffs. 

What You Will Build 

You will build internal AI-powered tools and systems that help Extreme's engineering and business teams do their best work. This includes: 

  • AI workflow infrastructure: Automation, integrations, and governance harnesses that enable teams to adopt and operate AI-assisted development workflows - connecting GitHub, Jira, and Confluence into structured, repeatable pipelines 

  • Internal dashboards: Tools that help engineering teams track quality and progress on their own AI-assisted work 

  • MCP servers and integrations: Organizational knowledge exposed to AI coding agents via Model Context Protocol - enabling agents to query internal systems in real time 

Qualifications 

  • 8+ years of professional software engineering experience, with a track record of shipping production systems 

  • Python and TypeScript/JavaScript - backend services, pipelines, frontends, and automation 

  • CI/CD experience building pipelines and automated workflows (GitHub Actions) 

  • Cloud fundamentals (AWS or Azure) - enough to deploy what you build 

  • Production experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent) - agentic sessions, not just autocomplete 

  • Experience with agent frameworks: Anthropic SDK, Microsoft Agent Framework, or equivalent 

  • Familiarity with MCP (Model Context Protocol) 

  • Familiarity with RAG pipelines, Knowledge Graphs and vector databases 

  • Experience building internal tooling adopted by large engineering organizations 

What Success Looks Like at 90 Days 

  • You have shipped at least two production features end-to-end 

  • The agent context documentation for your assigned surfaces is comprehensive enough that a new team member's agent generates correct output from it on first use 

  • You are operating with minimal supervision on new problem statements 

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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