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Ai Rag Jobs in Portland, OR (NOW HIRING)

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... AI, RAG) • Data Governance Apply at www.Nike.com/Careers (Job# R-84908) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language ...

D.A. Davidson

AI & Automation Engineer

Portland, OR

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial ...

D.A. Davidson

AI & Automation Engineer

Portland, OR · On-site

$90K - $120K/yr

... RAG) pipelines with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and ... Azure AI capabilities like document intelligence, computer vision, speech, and more. • Financial ...

US Bank

AI Red Team Lead Engineer

Gresham, OR

$108K - $143K/yr

Model deployment environments (APIs, plugins, agents, RAG pipelines) * Training, evaluation, and inference pipelines * Data ingestion, labeling, and governance controls * Design and execute AI ...

Intel

AI Software Development Engineer

Hillsboro, OR · On-site

Experience building RAG and knowledge-graph-backed systems for LLM applications in production ... Join Intel and be part of a mission to lead the AI revolution. Innovate with us and shape the ...

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All JobsAi Rag JobsAi Rag Jobs in Portland, OR

Ai Rag information

See Portland, OR salary details

$33.9K

$61.8K

$88.6K

How much do ai rag jobs pay per year?

As of Jul 20, 2026, the average yearly pay for ai rag in Portland, OR is $61,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $68,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in Portland, OR? For Ai Rag jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Portland, OR look for? The top searched job categories for Ai Rag jobs in Portland, OR are:
What cities near Portland, OR are hiring for Ai Rag jobs? Cities near Portland, OR with the most Ai Rag job openings:
Ai Rag jobs near you
Senior Software Engineer

Senior Software Engineer

Nike

Beaverton, OR • On-site

$127K - $168K/yr

Full-time

Posted 5 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

Senior Software Engineer- NIKE, Inc.- Beaverton, OR. Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation; track model accuracy, performance, relevance, and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes; stay ahead of with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies; embrace and embody Nike's core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master's degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering- related occupation.
Position requires:
• Distributed Systems
• CI/CD Pipelines
• Machine Learning Pipelines
• Cloud Platforms (Azure, AWS, GCP)
• API Development
• Model development and Training
• Databricks
• Apache Spark
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Lakehouse architecture
• Large-Scale Data Preprocessing
• Programming (Python, SQL, C++)
• LLM Models (Generative AI, RAG)
• Data Governance
Apply at www.Nike.com/Careers (Job# R-84908)
#LI-DNI
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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