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Rag Developer Jobs in Oregon (NOW HIRING)

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 ...

New

OR ยท On-site

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 ...

Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings. Orchestrate ... AWS Engineering: Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for ...

Senior AI Automation Engineer

OR ยท 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 ...

Lead Agent Engineer

OR ยท 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 ...

New

Senior Agent Engineer

OR ยท 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 ...

New

Senior DevOps Engineer

OR ยท 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

AI Vibe Coding Engineer

OR ยท Remote

$64K - $72K/yr

Optimize developer productivity through automation and AI tooling * Stay current with emerging AI ... Strong understanding of LLMs, RAG architectures, prompt engineering, AI agents, and MCP Preferred ...

OR ยท On-site

$104K - $143K/yr

You will stay ahead of trends such as Small Language Models (SLMs) for edge-compute and Agentic RAG ... Expert Software Engineering : 15+ years in software engineering. You are an expert in Java or Scala ...

$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 ...

OR ยท On-site

$104K - $143K/yr

You will stay ahead of trends such as Small Language Models (SLMs) for edge-compute and Agentic RAG ... Expert Software Engineering : 15+ years in software engineering. You are an expert in Java or Scala ...

OR ยท On-site

$140K - $185K/yr

As an AI Platform Engineer (SDE 3), you will be a key builder of the high-performance software ... Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG to ensure ...

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 ...

OR ยท On-site

$140K - $185K/yr

As an AI Platform Engineer (SDE 3), you will be a key builder of the high-performance software ... Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG to ensure ...

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 ...

OR ยท 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 ...

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 ...

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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 job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

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 or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
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 and Evaluation Engineer

LTS

OR โ€ข On-site, Remote

Other

Medical

Posted 2 days ago


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?ย 

  • 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

Ifย you'reย ready to push boundaries, sharpen your skills, and join a team that is passionate about buildingย what'sย next,ย we'dย love to meet you. Apply today andย let'sย build a future together!ย