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Generative Ai Developer Jobs in Oregon (NOW HIRING)

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$126.40K - $166.80K/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 ...

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.

OR · On-site

We are seeking a Generative AI Specialist to join our Advanced Technology Partner (ATP) team as a ... Collaborate with NVIDIA's internal engineering, research, and product teams to resolve critical ...

OR

$149K - $248K/yr

This role requires hands-on technical leadership across Generative AI, Agentic AI, cloud-native application delivery, and data solution development, while mentoring developers and promoting ...

Architect, build, deploy, and operate agentic Generative AI systems: APIs, data processing ETL pipelines, integration layers, Retrieval Augmented Generation, and context engineering. * Work in cloud ...

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

Proven experience with generative AI models and techniques, such as Generative Adversarial Networks ... Strong programming skills in Python and familiarity with common ML libraries and frameworks (e.g ...

... Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI ... Dynamically engaging with developers, scientific researchers, and data scientists, gaining ...

Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval ...

OR

$104.40K - $143.40K/yr

Generative AI * Programming Languages: Python * Infrastructure as Code (IaC): Terraform (including Tofu/Env0 tools) #LI-TE1 Skills Artificial Intelligence (AI), Cloud Platform, Generative AI ...

OR

$114.40K - $137.40K/yr

Applied experience with machine learning, generative AI, large language models, retrieval-augmented generation, embeddings, vector databases, semantic search, or prompt engineering. * Experience ...

The Role As a Senior Lead Software Engineer, you will be at the forefront of our AI initiatives ... Generative AI (Preferred) * Vertex AI (Preferred) * Firestore, BigQuery (Preferred) * MLOps/AIOps ...

OR

$122.40K - $161.30K/yr

Deploy Generative and Agentic AI models and systems at scale, optimizing for latency, throughput ... Implement sophisticated prompt engineering strategies (e.g., Chain of Thought, Few-Shot, RAG) to ...

OR · On-site

Software Modernization Software Engineer (LLM-Focused) Role Overview We are building an engineering ... Leverage generative AI tools to analyze and understand complex legacy mainframe codebases (COBOL ...

OR · On-site

We are seeking an AI Security Engineer to lead the implementation, monitoring, and continuous ... Familiarity with trust and safety concepts for generative AI and autonomous systems. * Experience ...

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of May 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 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.

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 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 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 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:
Sr. Product Manager - Recs/AI

$126.40K - $166.80K/yr

Other

Posted 4 days ago


iHerb rating

7.4

Company rating: 7.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Job Summary:

The Senior Product Manager - Recommendations & AI will lead the evolution of our e-commerce platform's personalization and AI-driven experiences. This role will focus on leveraging advanced recommendation algorithms and generative AI to deliver highly relevant and engaging customer journeys across all platforms (desktop, mobile web, and app). You will be responsible for analyzing data, defining a strategic roadmap, and driving the implementation of AI-powered features that enhance product discovery, personalization, and overall customer satisfaction. This role requires close collaboration with cross-functional teams, including engineering, data science, UX/UI, and marketing, to ensure seamless integration and execution of AI initiatives.

Job Expectations:

  • Drive AI-Powered Personalization: Lead the development and optimization of AI-driven recommendation systems, leveraging generative AI to create personalized content and experiences that enhance product discovery and conversion.

  • Generative AI Innovation: Explore and implement innovative applications of generative AI, including personalized product descriptions, tailored content generation, and AI-powered chat/search functionalities.

  • Data-Driven Optimization: Analyze user behavior, performance metrics, and A/B testing results to identify opportunities for optimization and improvement of recommendation and AI features.

  • Product Roadmap & Strategy: Define and prioritize the product roadmap for AI-driven recommendations and personalization, aligning with overall business objectives and customer needs.

  • User Research & Insights: Conduct user research and analyze customer feedback to inform product decisions and ensure a customer-centric approach to AI development.

  • Cross-Functional Collaboration: Collaborate with engineering, data science, UX/UI, and marketing teams to define requirements, design solutions, and ensure successful product launches.

  • Product Requirements & Design: Document detailed product requirements, user stories, and design specifications for AI-powered features, ensuring clear communication and alignment across teams.

  • Agile Development: Actively participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job. Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills, and Abilities:

Required:

  • Deep understanding of e-commerce personalization techniques, including collaborative filtering, content-based filtering, and hybrid recommendation systems.

  • Proven experience with generative AI models (LLMs, diffusion models, etc.) and their application in e-commerce or related fields.

  • Strong understanding of API integrations for AI services.

  • Proficiency in data analysis and interpretation, with experience using tools like Google Analytics, SQL, or similar.

  • Expertise in A/B testing and multivariate experimentation to drive data-driven decision-making.

  • Strong understanding of machine learning concepts and their application to recommendation systems and personalization.

  • Experience in defining and managing product roadmaps and prioritizing features based on business impact and customer value.

  • Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.  

  • Strong understanding of UX/UI principles and best practices, with the ability to contribute to design discussions and wireframing.  

  • Experience working in an Agile/Scrum environment.

  • Customer first mentality.

Preferred:

  • Experience with cloud-based AI platforms (e.g., Google Cloud AI or Vertex AI, AWS SageMaker or Bedrock, OpenAI Enterprise).

  • Experience with personalization platforms.

  • Experience with vector databases.

  • Experience with prompt engineering.

Experience Requirements:

Generally requires seven (7) or more years of Product Ownership within an e-commerce or consumer software setting.

Education Requirements: 

Bachelor's Degree required. A Computer Science or similar technical degree is preferred.

#LI-JC1


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