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Full Stack Ai Engineer Jobs in Portland, OR (NOW HIRING)

BlueInGreen

Full Stack Software Engineer

Portland, OR · Remote

$50 - $125/hr

About the Role We are looking for a seasoned full-stack software engineer who can design, build ... Experience using AI tools or AI-assisted workflows to improve engineering efficiency, testing ...

Pwc

AI Solutions Engineering Delivery Lead

Portland, OR

$108K - $143K/yr

... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ... Data Science, Engineering, Mathematics, or related technical field - Minimum of 10 years of ...

Autodesk, Inc.

Principal Full Stack Engineer

Portland, OR · On-site

$139K - $249K/yr

You'll be responsible for building a full-stack application that is resilient, scalable, and highly ... Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent ...

Autodesk

Principal Full Stack Engineer

Portland, OR

$139K - $249K/yr

You'll be responsible for building a full-stack application that is resilient, scalable, and highly ... Experience building production-grade AI/ML applications using RAG, LangGraph (or similar agent ...

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Showing results 1-20

All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Portland, OR

Full Stack Ai Engineer information

See Portland, OR salary details

$47.2K

$142.9K

$202K

How much do full stack ai engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for full stack ai engineer in Portland, OR is $142,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $167,600.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Portland, OR? For Full Stack Ai Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Portland, OR look for? The top searched job categories for Full Stack Ai Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Full Stack Ai Engineer jobs? Cities near Portland, OR with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $142,925 per year, or $68.7 per hour.

Full Stack Software Engineer

BlueInGreen

Portland, OR • Remote

$50 - $125/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

About the Role

We are looking for a seasoned full-stack software engineer who can design, build, test, deploy, and operate end-to-end solutions that improve tooling, automation, testing infrastructure, and operational workflows.

This role is ideal for a quality-minded engineer who is comfortable across frontend, backend, developer tooling, test automation, and platform reliability. The right person should be able to identify areas for improvement, build practical solutions, troubleshoot issues across the stack, and help teams move faster with more confidence.


Core Responsibilities


Full-Stack Development

Build and maintain full-stack applications that support device automation, testing infrastructure, developer tooling, and operational workflows.

Design, develop, test, deploy, and operate end-to-end solutions using modern frontend frameworks, backend services, APIs, and supporting infrastructure.

Troubleshoot and resolve issues across frontend applications, backend services, integrations, automation systems, and operational tooling.


Developer Tooling & Workflow Improvement

Identify opportunities to improve internal tools, automation, feedback loops, and operational workflows.

Build tools and services that help developers and QA teams move faster, improve confidence in code delivery, and reduce manual or repetitive work.

Partner with engineering, QA, product, and operations stakeholders to understand pain points and shape effective solutions.


Quality, Testing & Automation

Drive testing strategies and automation frameworks that improve quality, reliability, and release confidence.

Support scalable testing approaches for smart TVs, set-top devices, and other connected-device environments.

Improve testability, observability, reliability, and maintainability across internal tools and services.


Architecture & Technical Leadership

Evaluate frontend architectures, backend systems, user experience flows, and technical tradeoffs.

Maintain and improve legacy systems while balancing refactoring, rebuilding, and buying solutions.

Lead or support large-scale technical initiatives across functional teams in a dynamic environment.


Qualifications

7+ years of software development experience, with a focus on creating and maintaining full-stack applications.

Strong experience with modern UI frameworks, preferably React.

Strong JavaScript and TypeScript experience.

Experience building backend systems with Node.js and scalable service frameworks.

Experience with Java, Spring Boot, or equivalent backend frameworks.

Experience designing, building, testing, deploying, and operating production software.

Experience troubleshooting issues across the stack, including backend services, integrations, and operational systems.

Experience with testing strategies, automation frameworks, and quality-focused engineering practices.

Ability to work across legacy and modern systems while evaluating technical tradeoffs.

Strong communication skills and ability to partner with engineering, QA, product, and operations stakeholders.


Nice to Have

Experience building internal developer tools, testing infrastructure, automation platforms, or operational workflow tools.

Experience with device automation, smart TV applications, set-top devices, or partner device ecosystems.

Experience improving developer feedback loops and software delivery confidence.

Experience using AI tools or AI-assisted workflows to improve engineering efficiency, testing, automation, or operational processes.

Experience leading large-scale projects across functional teams.

Strong UX instincts and the ability to evaluate frontend architecture and user experience flows.


Ideal Candidate Profile

The ideal candidate is a versatile full-stack engineer who cares about quality, developer experience, and operational excellence. They are comfortable working across frontend, backend, testing, automation, and infrastructure, and they can help shape both the “what” and the “why” behind the tools the team builds.

They should be growth-minded, pragmatic, and excited to learn and leverage both in-house and open-source frameworks and services to improve how teams build, test, and deliver software.


Company Description

BlueInGreen builds and supports high-quality digital products, internal platforms, creative tools, automation systems, and engineering workflows for enterprise clients. Our teams work at the intersection of product, design, engineering, QA, infrastructure, and operations to deliver maintainable, scalable, and practical technology solutions.

We are looking for engineers who are comfortable solving complex problems, improving internal tooling, supporting reliable delivery, and partnering closely with technical and non-technical stakeholders.

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