2

Remote Ai Infrastructure Engineer Jobs in Portland, OR

Full Stack Software Engineer

Portland, OR ยท Remote

$50 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... infrastructure, and operational workflows. This role is ideal for a quality-minded engineer who is ... Experience using AI tools or AI-assisted workflows to improve engineering efficiency, testing ...

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Senior Software Engineer

Portland, OR ยท On-site +1

$140K - $175K/yr

If you want to do meaningful work at the intersection of AI and advanced manufacturing, we'd love ... Build scalable data processing pipelines and high-throughput service infrastructure * Design and ...

Senior DevSecOps Engineer

Portland, OR ยท Remote

$121K - $166K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... managing Azure-based infrastructure. * Demonstrated knowledge and interest in applying AI ...

Built on a native, AI-powered platform and more than a decade of proprietary data--including ... Senior Security Engineer Remote, United States About this position: We\'re looking for a Senior ...

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR ยท On-site +1

$195K - $275K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to ... Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ...

Showing results 21-40

Remote Ai Infrastructure Engineer information

See Portland, OR salary details

$49.3K

$134.8K

$193K

How much do remote ai infrastructure engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote ai infrastructure engineer in Portland, OR is $134,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $149,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote AI infrastructure engineer?

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What is a remote AI infrastructure engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.

What are some common challenges faced by remote AI infrastructure engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Portland, OR?

The most popular types of Ai Infrastructure Engineer jobs in Portland, OR are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Portland, OR?

For Remote Ai Infrastructure Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Portland, OR look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Ai Infrastructure Engineer jobs?

Cities near Portland, OR with the most Remote Ai Infrastructure Engineer job openings:

Infographic showing various Remote Ai Infrastructure Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $134,754 per year, or $64.8 per hour.

Full Stack Software Engineer

BlueInGreen

Portland, OR โ€ข Remote

$50 - $125/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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.