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Generative Ai Developer Jobs in Oregon (NOW HIRING)

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

AI Engineer

OR · On-site +1

Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ... Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development. * Strong ...

Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ... Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development. * Strong ...

OR · On-site

Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. * Work closely with data engineering teams to build/maintain data pipelines ...

The ideal candidate should possess a strong understanding of generative AI principles, agentic AI ... Developer Productivity & Experience * Identify development friction and translate it into high ...

The work centers on backend engineering, data pipelines, and retrieval systems that power agentic and generative AI capabilities on top of Defense Unicorns' core platform (Unified Defense Stack). You ...

Overview The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real ... PhD or Graduate degree in a quantitative discipline such as Computer Science/Engineering ...

The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and ... Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

OR · On-site

$126K - $166K/yr

Generative AI Innovation: Explore and implement innovative applications of generative AI, including ... Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements ...

... DevOps, cloud engineering, or infrastructure engineering. * 2+ years building or supporting Generative AI, Large Language Model (LLM), or machine learning applications. * Strong programming ...

New

OR

$150K - $220K/yr

... engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor ...

$200K - $315K/yr

The ideal candidate combines deep technical expertise in generative AI, agents, and agentic ... This is a deep technical role regarding hands-on work alongside the portfolio engineering teams.

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Generative Ai Developer information

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$47

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How much do generative ai developer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for generative ai developer in Oregon is $47.88, according to ZipRecruiter salary data. Most workers in this role earn between $24.90 and $57.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Oregon? For Generative Ai Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Oregon look for? The top searched job categories for Generative Ai Developer jobs in Oregon are:
What cities in Oregon are hiring for Generative Ai Developer jobs? Cities in Oregon with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Oregon as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $99,596 per year, or $47.9 per hour.

Generative AI Lead Designer

Nike

Beaverton, OR • On-site

Full-time

Posted 12 days ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

WHO YOU'LL WORK WITH
Nike's Design Generative Studio is exploring the future of footwear design at the intersection of creativity and AI technology. You'll partner with world-class designers and engineers globally, reporting to the Generative Studio leadership. Your work will directly impact design teams worldwide as you help build and implement AI-augmented workflows that empower our creative community. You'll collaborate closely with AI/ML engineers, footwear designers, and global technology teams to help transform how Nike approaches product creation.
WHO WE ARE LOOKING FOR
We're looking for a GenAI designer who is both a strong designer and a hands-on tool builder. You bring solid creative foundations paired with a genuine passion for generative AI, an appetite for learning fast, and a natural drive to share what you build with others. You're not just a tool user - you like rolling up your sleeves to create solutions when existing tools fall short, and you're comfortable working at the intersection of art and technology. This role is a great fit for someone who enjoys bridging experimental AI prototypes and production-ready tools, and who can translate design needs into technical requirements (and back the other way).
  • 4-5 years of experience in design, with clear steps toward creative technology and tool-building
  • Bachelor's degree in Industrial Design, Architecture, Fashion Design, or a related creative discipline. Will accept any suitable combination of education, experience, and training
  • Hands-on experience with node-based, visual coding environments for generative AI creative tooling, and a track record of building custom workflows within them
  • Solid working knowledge of 2D and 3D design workflows and software, with an understanding of footwear design principles (or the ability to quickly pick this up)
  • Awareness of additive manufacturing and 3D printing, and how AI-generated concepts can move into physical prototypes.
  • Portfolio showing both creative output and technical/tool-building work
  • Bonus: experience with spatial computing (AR/VR), web development for rapid prototyping, or active participation in the AI/design community

WHAT YOU'LL WORK ON
You'll help shape how Nike approaches footwear design by building and refining AI-augmented workflows that fit naturally into our creative process. Alongside the wider team, you'll create custom tools, support adoption across the design community, and contribute to defining a new creative discipline at Nike.
  • Partner with footwear designers to understand existing 2D and 3D creative workflows, and identify high-value opportunities for AI augmentation that enhance rather than replace human creativity
  • Design and prototype clean, modern generative AI workflows using node-based visual coding environments, tailored to footwear design challenges, iterating quickly on feedback from the design community
  • Collaborate with global AI/ML engineers to accelerate the development and deployment of generative AI solutions, acting as a link between creative and engineering teams and translating design needs into technical requirements
  • Help scale prototypes from proof-of-concept toward enterprise-grade tools that serve designers worldwide, working with global technology teams on reliability, performance, and accessibility
  • Support AI adoption by contributing to training materials, workshops, and demonstrations that make generative AI tools approachable for designers of all technical levels
  • Stay close to developments in generative AI, evaluating and integrating new models and techniques, and helping build a culture of experimentation on the team
  • Share learnings and best practices across the organization to grow the wider design community's capabilities and help drive adoption of new methodologies
  • Provide hands-on support to design teams during key moments such as Creative Launch, Creative Direction Week, and other design reviews, so teams can get the most out of AI tools when it matters most.

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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