1

Ai Software Developer Jobs in Oregon (NOW HIRING)

OR

$63 - $83/hr

Strong software engineering and debugging skills, including experience with Python, C/C++, and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

... ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and ... Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for ...

... Software Developers at Kinaxis create algorithms to optimize supply chains. Each one of usplays an ... Review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge ...

As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering ... Software Engineer, Application Developer, or equivalent. * Prior experience must include 3 years of ...

OR · On-site

... AI software products in a SAFe Agile environment. In this role, you will translate business needs ... You will partner closely with business stakeholders, architects, data scientists, engineers ...

OR

$134.90K - $180.80K/yr

Are you an AI leader in the Software Engineering space? Do you challenge the status quo? Do dive right in with the latest AI Development tools so that you can leverage them to create new innovative ...

next page

Showing results 1-20

Ai Software Developer information

See Oregon salary details

$50.8K

$118.3K

$175.5K

How much do ai software developer jobs pay per year?

As of May 30, 2026, the average yearly pay for ai software developer in Oregon is $118,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $137,400.00 per year, depending on experience, location, and employer.

What is an AI Software Developer job?

An AI Software Developer designs, develops, and implements artificial intelligence solutions, such as machine learning models, neural networks, and automation tools. They work with algorithms, big data, and programming languages like Python to build intelligent applications. Their responsibilities include data preprocessing, model training, testing, and deploying AI systems for various industries.

What are the key skills and qualifications needed to thrive in the Ai Software Developer position, and why are they important?

To thrive as an AI Software Developer, you need strong programming skills in languages such as Python or Java, a background in computer science or a related field, and a solid understanding of machine learning algorithms. Familiarity with frameworks like TensorFlow, PyTorch, and experience with data processing tools or cloud platforms is highly valued, while certifications in AI or machine learning can be advantageous. Creative problem-solving, collaboration, and effective communication are key soft skills that help you integrate complex solutions and work effectively within multidisciplinary teams. These competencies are crucial for developing, deploying, and maintaining innovative AI systems that deliver real-world value.

What are some common challenges faced by AI Software Developers in day-to-day work?

AI Software Developers often encounter challenges such as ensuring data quality and quantity, tuning complex models for optimal performance, and integrating AI components seamlessly into existing software systems. Balancing the need for accuracy with computational efficiency while addressing issues of scalability and maintainability can also be demanding. Additionally, they must continuously stay updated with rapidly evolving AI technologies and best practices. Overcoming these challenges requires adaptability, a passion for continuous learning, and close collaboration with data scientists, product managers, and other engineers.
What cities in Oregon are hiring for Ai Software Developer jobs? Cities in Oregon with the most Ai Software Developer job openings:
Infographic showing various Ai Software Developer job openings in Oregon as of May 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 62% Physical, 5% Hybrid, and 33% Remote job distribution, with an average salary of $118,252 per year, or $56.9 per hour.
Freelance AI Agent Engineer (Remote)

Freelance AI Agent Engineer (Remote)

Outlier AI

Portland, OR • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.