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Rag Internship Jobs in Oregon (NOW HIRING)

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Experience developing Generative AI applications using Retrieval Augmented Generation (RAG) and ...

All JobsRag JobsRag Internship JobsRag Internship Jobs in Oregon

Rag Internship information

What is a RAG internship?

A Rag Internship typically refers to a student internship position that is part of a university's 'Rag' (Raise and Give) society or committee, which organizes fundraising events and campaigns for charitable causes. Interns in these roles assist with event planning, marketing, volunteer coordination, and general administrative tasks to support fundraising initiatives. This position offers students practical experience in event management, teamwork, and communication, while contributing to charitable work. Rag Internships are usually unpaid and are a great way for students to develop transferable skills.

What can I expect from the typical workflow and team collaboration during a RAG internship?

During a RAG internship, you can expect to work closely with machine learning engineers, data scientists, and software developers to design, implement, and optimize information retrieval systems that power generative AI models. Your daily tasks may include processing large datasets, experimenting with retrieval algorithms, evaluating model outputs, and contributing to documentation or presentations. Interns often participate in regular team meetings, code reviews, and brainstorming sessions to discuss technical challenges and share progress. This collaborative environment helps you develop both technical and communication skills, while gaining hands-on experience with state-of-the-art NLP technologies.

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

To excel as a RAG Internship candidate, you should possess a solid understanding of natural language processing, machine learning fundamentals, and programming skills, typically supported by coursework in computer science or data science. Familiarity with tools such as Python, PyTorch or TensorFlow, and experience working with large language models and retrieval systems are often required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding interns apart. These competencies enable interns to contribute meaningfully to AI research teams, support innovative projects, and adapt to the rapidly evolving field of AI.

What is the difference between Rag Internship vs Data Analyst Internship?

AspectRag InternshipData Analyst Internship
Required CredentialsBasic coursework, some technical skillsRelevant degree, proficiency in data tools
Work EnvironmentEntry-level, project-based, team settingsOffice or remote, analytical tasks
Industry UsageCommon in creative and design fieldsWidely used across finance, marketing, tech

Rag Internships typically focus on introductory tasks in creative or design fields, requiring basic skills and offering hands-on experience. Data Analyst Internships are more specialized, demanding relevant technical skills and data knowledge. Both provide valuable industry exposure but differ in skill requirements and work focus.

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

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

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

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

What cities in Oregon are hiring for Rag Internship jobs?

Cities in Oregon with the most Rag Internship job openings:

Rag Internship jobs near you

AI Engineer/Anthropic-Campus Hire - US West

NewRocket

OR • On-site, Remote

Full-time

Posted 11 days ago

Job description

AI Engineer - Campus and Graduate Level

Experience: 1-3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles
Location: [Location / Hybrid / Remote]
Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer

Why NewRocket

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners-uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value.

NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking a hands-on AI Engineer - Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients.

This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI-including Claude-powered applications, agentic workflows, intelligent automations, retrieval-augmented generation (RAG), and ServiceNow-based solutions.

You will work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.

Travel to clients and conferences as needed.

Key Responsibilities

AI Solution Development

  • Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
  • Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools.
  • Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes.
  • Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints.
  • Help build AI applications using structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration patterns.
  • Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable.
  • Write clean, maintainable, secure, and well-documented code following engineering best practices.

Retrieval, Data, Evaluation & Quality

  • Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
  • Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data.
  • Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.
  • Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications.
  • Support techniques that improve reliability and user trust, such as output validation, citation or source-grounding patterns, fallback handling, confidence thresholds, and escalation workflows.
  • Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions.

Responsible AI & Security

  • Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight.
  • Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
  • Support human-in-the-loop workflows for sensitive, high-impact, low-confidence, or exception-based AI decisions.
  • Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders.

Cross-Functional Collaboration

  • Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions.
  • Participate in requirements gathering, solution-design sessions, sprint planning, code reviews, and retrospectives.
  • Support client-facing teams with technical research, demos, proof-of-concept development, and implementation activities.
  • Communicate technical concepts, solution behavior, and findings clearly to both technical and non-technical stakeholders.
  • Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

AI Innovation & Research

  • Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases.
  • Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket's partnership.
  • Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.
  • Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

Required Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
  • 1-3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
  • Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
  • Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
  • Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
  • Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
  • Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.
  • Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment.
  • Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects.
  • Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.
  • Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications.
  • Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design.
  • Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources.
  • Experience working in an agile software-development environment.
  • Interest in enterprise consulting, digital transformation, and applying AI to real-world business challenges.

What You Will Gain

  • Hands-on experience building enterprise-grade generative and agentic AI solutions, including Claude-powered applications where appropriate.
  • Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI.
  • Experience across the end-to-end lifecycle of AI product and solution development-from discovery and prototyping to deployment, monitoring, and continuous improvement.
  • Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals.
  • Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.
  • A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

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