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Rag Developer Jobs in Oregon (NOW HIRING)

Tebra

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Data/RAG Pipeline Design & Management * * Design and automate data flow processes to support AI ... Programming for Automation * Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

Collaborate with AI architects and engineering teams to integrate LLMs, RAG pipelines, vector ... databases, and agentic AI solutions into enterprise applications. * Support deployment of AI ...

Cresta

Senior Developer Relations Engineer

OR · On-site +1

Stay hands-on with agent building and testing : prompt engineering, tool/function calling, RAG, and evaluation, so the content you produce reflects real, current platform capability rather than ...

Chainguard

Senior Software Engineer, Developer Platform

OR · On-site +1

$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 ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents. * Experience developing REST APIs using FastAPI or similar frameworks. * Familiarity with Git, Azure DevOps, CI/CD ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents. * Experience developing REST APIs using FastAPI or similar frameworks. * Familiarity with Git, Azure DevOps, CI/CD ...

Particle41

AI Engineer

OR · On-site +1

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 ...

LTS

Lead AI Architect/Strategist

OR · On-site +1

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 ...

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

... developer productivity. * Evaluate emerging LLMs, multimodal models, agent frameworks, and AI ... Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

ClickHouse

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

... developer experience. About the role As a Senior Software Engineer specializing in the AI & ML ... stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML ...

Boomerang Healthcare

AI Full Stack Developer

Portland, OR · On-site

$125K - $165K/yr

Direct LLM API integration experience -- prompt engineering, tool/function calling, RAG implementation, context window management, and response evaluation. Experience with Claude Enterprise, AWS ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

... RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible ... Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What are popular job titles related to Rag Developer jobs in Oregon?

For Rag Developer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Rag Developer jobs in Oregon look for?

The top searched job categories for Rag Developer jobs in Oregon are:

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Cities in Oregon with the most Rag Developer job openings:

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Infographic showing various Rag Developer job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior AI Automation Engineer

OR • On-site, Remote

Tebra
See more jobs at Tebraexternal

$103K - $136K/yr

Full-time

Re-posted 22 days ago

Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. You'll own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights.

This role requires deep technical execution skills in integration development, agentic system design, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms.
    • Build evaluation into every system to ensure high quality results, considering precision, answer faithfulness, latency, and cost.
    • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking.
    • Implement data quality checks and architectural safeguards to ensure trusted, high-fidelity datasets for AI agents.

AI Operations

    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
  • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems.
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG).
  • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro , Foundations or SnowPro certifications preferred.

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