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Remote Retrieval Augmented Generation Jobs in Oregon

AI Engineering Intern

OR ยท On-site +1

$16.75 - $21.75/hr

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enable "chat with your data ... Remote

New

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 ...

Senior Agentic AI Software Engineer

OR ยท On-site +1

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Design and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise ...

You'll join a team with strong foundations in recommendation systems, retrieval-augmented generation (RAG), embedding-based retrieval, model evaluation, conversational AI, model adaptation, and ...

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

Hillsboro, OR ยท 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 ...

Hands-on experience working with LLMs, including prompt engineering, fine-tuning, retrieval-augmented generation, and evaluation * Solid software engineering skills and experience working within ...

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... retrieval-augmented generation (RAG), agentic workflows, tool use, structured outputs, model ...

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... retrieval-augmented generation (RAG), agentic workflows, tool use, structured outputs, model ...

Lead AI/ML Engineer

OR ยท On-site +1

$180K - $230K/yr

Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

AI Platform Engineer-Anthropic AI Foundry | NewRocket Location: [Location / Hybrid / Remote] Travel ... retrieval-augmented generation (RAG), agentic workflows, tool use, structured outputs, model ...

Senior Software Engineer - Integrations - AI/ML

OR ยท On-site +1

$122K - $161K/yr

LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.

Senior Applied AI Engineer, Cybersecurity

OR ยท On-site +1

$114K - $156K/yr

Hands-on experience designing and developing modern AI systems using large language models, retrieval-augmented generation, agentic architectures, agent harnesses, or related approaches. Experience ...

Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Senior Forward Deployed Engineer (AI Agent)

OR ยท On-site +1

$104K - $143K/yr

... retrieval-augmented generation (RAG). Hands-on experience of building such a system is strongly ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Marketing AI Intern

OR ยท On-site +1

$20 - $25/hr

Stretch Projects If you're moving fast, there's room to go deeper - Retrieval-Augmented Generation ... remote-first, paid time off, company shutdown, holidays Work with top experts worldwide whom ...

Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Showing results 21-40

Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Oregon?

The most popular types of Retrieval Augmented Generation jobs in Oregon are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in Oregon?

For Remote Retrieval Augmented Generation jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in Oregon look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in Oregon are:

What cities in Oregon are hiring for Remote Retrieval Augmented Generation jobs?

Cities in Oregon with the most Remote Retrieval Augmented Generation job openings:

Infographic showing various Remote Retrieval Augmented Generation job openings in Oregon as of August 2026, with employment types broken down into 67% Full Time, 31% Part Time, 1% Contract, and 1% Nights. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

AI Engineering Intern

Pindrop

OR โ€ข On-site, Remote

$16.75 - $21.75/hr

Internship

Posted 3 days ago

New


Job description

What you'll do

As an AI Engineering Intern, you will be at the forefront of applying generative AI to enhance Pindrop's internal operations and engineering productivity. You will work closely with senior engineers to turn manual processes into intelligent, automated workflows.

  • Explore and build proof-of-concept AI agents to automate complex internal engineering workflows, such as incident analysis or code review summaries. ย 
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enable "chat with your data" capabilities for internal technical documentation and runbooks. ย 
  • Collaborate with cross-functional teams to identify operational bottlenecks and implement AI-driven fixes that improve efficiency and performance. ย 
  • Test and document the use of emerging AI-assisted coding and monitoring tools to determine their viability for the broader engineering organization. ย 
  • Participate in security-minded engineering, ensuring that automated workflows follow strict data hygiene and secrets management protocols. ย 
Who you are
  • You are deeply curious about how AI can make large-scale systems more efficient and are comfortable experimenting with new, unproven tools.
  • You are excited to uncover innovative solutions and can teach yourself new frameworks (like LangChain or Auto-GPT) when needed.
  • You take ownership of your projects, under-promise, and over-deliver.
  • You seek feedback frequently and can explain complex AI concepts to both technical and non-technical teammates.ย 
Your skill-set

Must-haves:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field. ย 
  • Knowledge of Python for automation and data processing. ย 
  • Demonstrated interest or project experience in AI/ML, specifically involving Large Language Models (LLMs) and prompt engineering. ย 
  • Familiarity with Git workflows.

Nice-to-haves:

  • Hands-on experience building small ML pipelines or experimenting with vector databases and RAG frameworks. ย 
  • Foundational experience with AWS or GCP services (e.g., Lambda, S3, or SageMaker). ย 
  • Exposure to CI/CD concepts or infrastructure-as-code (e.g., GitHub Actions, Docker).ย 
What's in it for you

In an era where synthetic media and identity manipulation are accelerating, you will work on the systems that ensure every interaction involves the real human and the right human. You will wake up every day knowing your work has real-world impact by protecting financial institutions and consumers from fraud. ย 

You will gain hands-on experience in a modern environment, working alongside some of the best technical minds in security, AI, and voice intelligence. This is a career-defining opportunity for someone ready to drive meaningful, enterprise-level AI impact.


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