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Remote Rag 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 ... Demonstrated experience in a remote work environment. Nice to Have: * Code-as-corpus retrieval ...

Tebra

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

Data/RAG Pipeline Design & Management * * Design and automate data flow processes to support AI ... Remote

Grafana Labs

Staff AI Engineer | US | Remote

OR · Remote

This is a remote opportunity and we would be interested in applicants from USA time zones only at ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

Grafana Labs

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · Remote

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

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 ... Demonstrated experience in a remote work environment. * Prior architectural ownership of an agent ...

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 ... Demonstrated experience in a remote work environment. Nice to Have: * Tooling around Claude or ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Retrieval-Augmented Generation (RAG) * Structured outputs and validation pipelines * Partner with ...

Corvel

Data Scientist II

... RAG), where applicable. Experience with platforms such as Azure, AWS, or similar ecosystems is ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

LTS

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG ...

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Remote Rag information

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Remote Rag jobs near you
RAG and Evaluation Engineer

RAG and Evaluation Engineer

LTS

OR • On-site, Remote

Other

Medical

Posted 22 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? 

  • 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