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Internship Retrieval Augmented Generation Jobs in Springdale, AR

Principal, Data Scientist

Tontitown, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Cave Springs, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Lowell, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Johnson, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Pea Ridge, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Bella Vista, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Centerton, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Springdale, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Decatur, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Fayetteville, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Rogers, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Elkins, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Greenland, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Elm Springs, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Goshen, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Gravette, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Noel, MO ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Bentonville, AR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Farmington, AR ยท On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

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Internship Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

Infographic showing various Internship Retrieval Augmented Generation job openings in Springdale, AR as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution.

Senior AI Engineer :: Bentonville, AR (5 days/week Onsite Only

Talent Movers

Bentonville, AR โ€ข On-site

Contractor

Re-posted 2 days ago


Job description

Role ::  AI Engineer

Location : Bentonville, AR (5 days/week Onsite Only [NO REMOTE]

Rate : On C2C

JD: Client is looking to design and build LLM-powered solutions that extract actionable insights from structured CPG data sources. The goal is to automate analysis workflows, find opportunities to grow, surface trends, and enable faster decision-making for cross-functional marketing and category teams.

Scope of Work

  • Build LLM pipelines that ingest, process, and extract insights from CPG sales and market data (NIQ/Circana, 84.51°, Scintilla, SAP)
  • Develop prompt engineering frameworks and retrieval-augmented generation (RAG) architectures tailored to structured/tabular data
  • Create automated insight summaries, anomaly flags, and natural-language reporting outputs
  • Integrate with existing analytics infrastructure (PowerBI, SharePoint, internal data platforms)
  • Document solutions for handoff and internal team adoption

Preferred Experience

  • Strong Python development skills with production-level code quality
  • Hands-on experience with LLM APIs (OpenAI, Anthropic/Claude) including prompt engineering, embeddings, and RAG patterns
  • Experience working with structured/tabular datasets at scale, ideally in CPG, retail, or consumer analytics
  • Familiarity with syndicated data providers (NIQ, Circana, IRI, 84.51°) is a strong plus
  • Ability to work independently, scope deliverables, and communicate progress clearly

Nice to Have

  • Experience with Azure OpenAI or enterprise LLM deployment
  • Background in CPG category management or trade analytics
  • Familiarity with PowerBI, SAP, or Microsoft ecosystem integrations