ZipRecruiter

Log In

1

Rag Developer Jobs in Oregon (NOW HIRING)

LTS

RAG and Evaluation Engineer

OR · On-site +1

LTS is seeking a RAG & Evaluation Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today. The mission ...

Actian Corporation

OR

You will own developer acquisition, activation, engagement, and advocacy for developers building AI applications, RAG systems, agents, and modern data platforms. You will work directly with product ...

Advantive

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to ... You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI-driven ...

Tebra

Senior AI Automation Engineer

OR · Remote

$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

Senior Agent Engineer

OR · On-site +1

$104K - $143K/yr

So does the prompt-and-eval iteration cycle, in partnership with the RAG & Eval Engineer. * Own the agent layer of the platform - architecture, prompts, tool surfaces, multi-agent orchestration, and ...

iHerb

OR

$122K - $161K/yr

RAG and personalization, agent framework and tool use, evals and guardrails, and LLM application ... Contributions to internal developer tooling, golden path standards, or SDLC process improvements.

LTS

Lead Agent Engineer

OR · On-site +1

$102K - $134K/yr

So does the prompt-and-eval iteration cycle, in partnership with the RAG & Eval Engineer. * Own the agent layer of the platform - architecture, prompts, tool surfaces, multi-agent orchestration, and ...

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

Verathon, Inc.

$115K - $231K/yr

The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...

iHerb

OR

This spans the user-facing AI layer (Wellness Agent, LLM-driven recommendations, RAG over catalog ... Represent engineering in cross-functional conversations with product, data science, security, and ...

Vectara

OR

$122K - $161K/yr

Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by ... We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by ... We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ...

Pindrop

OR · On-site

You're a developer at heart with a mind for web strategy, as comfortable writing code as you are ... Agentic and RAG-backed experiences, prototyped and measured against pipeline. * Conversion. You own ...

Beyondsoft Consulting

AI Integration: Assist in implementing and testing agentic workflows and advanced RAG (Retrieval ... Solid programming foundation with experience in backend development, specifically C# and .NET.

Smarsh

OR · On-site

$122K - $161K/yr

Design and optimize retrieval-augmented generation (RAG) pipelines, including handling long ... DevOps principles * Review code, identify areas for improvement, and help reduce technical debt

Particle41

OR

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 ...

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 ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... RAG systems, or LLM-based reasoning Knowledge of MLOps practices (CI/CD, monitoring, model ...

next page

Showing results 1-20

All JobsRag Developer JobsRag Developer Jobs in Oregon

Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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 does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

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 programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
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:
What cities in Oregon are hiring for Rag Developer jobs? Cities in Oregon with the most Rag Developer job openings:
Rag Developer jobs near you
Infographic showing various Rag Developer job openings in Oregon as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.
RAG and Evaluation Engineer

RAG and Evaluation Engineer

LTS

OR • On-site, Remote

Other

Medical

This job post has expired today. Applications are no longer accepted.

Job description

LTS is seeking a RAG & Evaluation Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today.

The mission: build agents that read, translate, and modernize a decades-old codebase that millions of people quietly depend on. The work has executive backing, real users, and a customer who knows exactly what they're buying. Specifics shared once we're talking.

The team is small by design. Every seat carries unusual leverage, and we hire people who are already deep in this work. We use AI tooling natively - agents in parallel, model as collaborator, no exceptions.

What You'll Do:

The RAG & Evaluation Engineer owns the knowledge surface and the eval harness. Ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides. Retrieval quality across chunking, embeddings, hybrid retrieval, reranking, freshness. Benchmarks for translation accuracy, dependency-map correctness, and overall agent quality. The feedback loop from production usage back into evals and retrieval lives here.

  • Own the knowledge surface - ingestion pipelines for source code, structured metadata, technical documentation, patches, and additional corpora the customer provides.
  • Own retrieval quality - chunking, embeddings, hybrid retrieval, reranking, and freshness.
  • Own the eval harness - benchmarks for translation accuracy, dependency-map correctness, and overall agent quality.
  • Run A/B testing and regression detection across prompts, retrieval, and model changes.
  • Operate the feedback loop from production usage back into evals and retrieval.
  • Define what "good" means for the platform when no one else has a clear view, so the team can tell whether the agent is actually improving.
  • Pair with the Agent Engineers on the prompt-and-eval iteration cycle.

What We're Looking For:

  • Bachelor's degree in Computer Science, Engineering, Information Science, or a related field, plus 4 years of professional software engineering experience; equivalent experience may substitute for the degree requirement.
  • Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale).
  • Ability to work in a fast-paced, collaborative environment.
  • Production experience with retrieval pipelines - ingestion, chunking, embedding, hybrid retrieval, reranking.
  • Strong applied evaluation skills - benchmark design, regression detection, LLM-as-judge patterns.
  • Knows when BM25 beats embeddings and when neither is enough.
  • Measures everything they ship; opinions about chunking are backed by benchmarks.
  • Patient with detail; comfortable defining metrics before the team has agreed on them.
  • Heavy native use of AI tooling: agents in parallel, model as collaborator.
  • Strong TypeScript or Python.
  • Demonstrated experience in a remote work environment.

Nice to Have:

  • Code-as-corpus retrieval (search over source code rather than prose).
  • Applied IR or search-engine background.
  • Synthetic data generation and LLM-as-judge patterns.
  • Open-source contributions to retrieval, eval, or RAG tooling.
  • Experience integrating retrieval feedback loops with production usage.
  • Healthcare IT or legacy modernization domain experience.
  • Public technical writing or conference talks on retrieval or evaluation.

What's in it for you? 

  • The opportunity to support high visibility federal missions in IT and healthcare
  • A culture that values innovation, growth, collaboration, and quality
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together! 

Apply