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Rag Engineer Jobs in Oregon (NOW HIRING)

Cotiviti

$125K - $172K/yr

LLM evaluation, retrieval-augmented generation (RAG), ranking, or large-scale classification ... Demonstrated ability to drive cross-functional alignment across engineering, product, and analytics.

Cresta

OR

Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge ... Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and ...

JS Consulting

AI-forward Software Engineer

Beaverton, OR · On-site

Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase ... Passion for generative AI and developer enablement. Instructional & Communication Skills * Advanced ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Design, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG ... Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta's AI ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning) * Familiarity with vector databases (Pinecone, Weaviate, OpenSearch) * Exposure to AIOps or AI-driven automation

Shift Technology

OR · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims ...

LTS

Lead AI Architect/Strategist

OR · Remote

Hands-on experience with AI concepts and technologies including Retrieval-Augmented Generation (RAG), AI Agents / Agentic AI, prompt engineering, vector databases and embeddings, model orchestration ...

Upstart

Senior Applied ML Engineer

OR · On-site +1

$104K - $143K/yr

Familiarity with retrieval-augmented generation (RAG), vector search (e.g., FAISS, Pinecone), and ... Strong intuition for prompt engineering, model testing, and evaluation methodologies * Experience ...

Robots and Pencils

OR · On-site

$177K - $209K/yr

This role is ideal for an experienced engineer who thrives on architectural decisions, can ... Extensive experience building RAG pipelines: chunking strategies, embedding models, vector ...

LTS

Agentic AI Security Engineer

OR · Remote

Our platform enables engineers to ask questions in plain English and receive explainable ... Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise ...

Instacart

Forward Deployed Engineer

OR · Remote

As a Forward Deployed Engineer, you are Instacart's hands-on technical presence inside enterprise ... Hands-on experience building with LLM APIs, function calling, tool use, agent frameworks, or RAG ...

NICE

OR · On-site

Working knowledge of the current AI agent toolkit: evaluation frameworks, orchestration tooling, RAG pipelines, and prompt engineering. * Familiarity with React, TypeScript, and/or Go is an advantage.

Chainguard

OR · On-site

$54.50 - $72/hr

Help productionize the Agentic AI platform: agent observability, RAG, and the context-engineering patterns that keep agents reliable from dev through prod. * Partner with the team to consolidate ...

Robots and Pencils

OR · On-site

Extensive experience building RAG pipelines: chunking strategies, embedding models, vector ... engineering level Our salary range is $177,375 - $209,625 USD

InvoiceCloud

OR

We are seeking a highly skilled and results-oriented AI Security Engineer to support the ... Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent ...

Corvel

Data Scientist II

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Design and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion, embeddings, hybrid retrieval, reranking, semantic search, context engineering, and prompt ...

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Showing results 21-40

All JobsRag Engineer JobsRag Engineer Jobs in Oregon

Rag Engineer information

See Oregon salary details

$62.9K

$95.7K

$162.3K

How much do rag engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for rag engineer in Oregon is $95,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $111,000.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

What are popular job titles related to Rag Engineer jobs in Oregon? For Rag Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Oregon look for? The top searched job categories for Rag Engineer jobs in Oregon are:
What cities in Oregon are hiring for Rag Engineer jobs? Cities in Oregon with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $95,696 per year, or $46 per hour.

Systems Engineer - AI Research Systems Support

Aptive

On-site, Remote

Part-time

Re-posted 8 days ago

Aptive Environmental rating

5.6

Company rating: 5.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

30th of 35 rated pest control companies

Job description

Job Summary

Aptive Resources is seeking a Systems Engineer to support artificial intelligence (AI), research systems, and data modernization initiatives within the Department of Veterans Affairs (VA) Office of Research and Development (ORD). This role supports enterprise AI activities focused on improving research operations, streamlining organizational workflows, supporting strategic AI pilots, and enabling scalable AI capabilities across research, policy, infrastructure, and operational environments.

The Systems Engineer will support development, integration, and optimization of AI-enabled workflows, cloud-based solutions, and research technology initiatives. This role will work closely with project managers, data analysts, operational stakeholders, and technical teams to support rapid testing, workflow improvements, system integrations, and AI-related operational support activities across ORD initiatives.

The ideal candidate will have experience supporting modern data and application environments, technical integrations, cloud-based systems, and AI-enabled workflows in healthcare, research, or enterprise operational environments.

This is a full-time (40 hours/week), 100% remote position. 

It is currently funded through September 29, 2026 under the current contract period of performance, with potential for extension into the next option year based on contract continuation and program needs.

Primary Responsibilities
  • Support development and implementation of AI-enabled operational and research support solutions across ORD initiatives.
  • Assist with integration, optimization, and maintenance of data systems, workflows, and cloud-based platforms supporting AI and analytics activities.
  • Support development and testing of retrieval-augmented generation (RAG) workflows and related AI-enabled tools.
  • Assist with development of simplified workflows, rapid testing approaches, and deployment activities to improve operational efficiency and development speed.
  • Support data ingestion, ETL processes, database integration, and data pipeline activities across enterprise environments.
  • Assist with development and maintenance of integrations supporting research operations, analytics, reporting, and AI-enabled tools.
  • Coordinate with technical and operational stakeholders to support AI pilot initiatives and enterprise operational priorities.
  • Support activities related to centralized AI assets, research infrastructure, and enterprise data environments.
  • Participate in troubleshooting, issue resolution, and continuous improvement activities across technical workstreams.
  • Prepare technical documentation, workflow documentation, and implementation support materials.
Minimum Qualifications
  • Bachelor's degree in information systems, computer science, engineering, data science, healthcare informatics, or a related technical field.
  • 4+ years of experience supporting systems engineering, software integration, cloud solutions, data systems, or technical implementation activities in a complex organization.
  • Experience supporting cloud-based environments, databases, data pipelines, or enterprise data activities.
  • Experience with SQL, Python, ETL processes, APIs, or systems integration activities.
  • Familiarity with AI/ML technologies, large language models (LLMs), or AI-enabled workflow solutions.
  • Experience supporting rapid development, testing, or deployment activities in technical environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to communicate effectively with both technical and non-technical stakeholders.
  • Proficiency with Microsoft Office Suite and collaboration platforms.
  • Ability to work independently in a remote environment while managing multiple priorities.
  • Ability to obtain and maintain a public trust clearance.
  • Legal authorization to work in the United States.
Desired Qualifications
  • Experience supporting federal, VA, healthcare, research, or enterprise AI environments.
  • Experience supporting AI-enabled search, retrieval workflows, or RAG-based solutions.
  • Familiarity with cloud platforms such as Azure or AWS.
  • Experience supporting workflow automation, operational modernization, or technical integration initiatives.
  • Experience supporting REDCap, research databases, or healthcare data environments.
  • Familiarity with data lake, data warehouse, or enterprise analytics environments.
  • Experience working in fast-paced, matrixed environments supporting multiple concurrent technical initiatives.
  • High degree of professionalism, discretion, and mature judgment in handling sensitive information.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: PART_TIME

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