AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
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AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
AI Engineer
Little Rock, AR · On-site
Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability. * Engineer ...
Develop prompt engineering frameworks and retrieval-augmented generation (RAG) architectures tailored to structured/tabular data * Create automated insight summaries, anomaly flags, and natural ...
Quick apply
Develop prompt engineering frameworks and retrieval-augmented generation (RAG) architectures tailored to structured/tabular data * Create automated insight summaries, anomaly flags, and natural ...
Senior Data Scientist- Gen AI
Malvern, AR · On-site
$100 - $130/hr
Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications * Curiosity and ...
Senior Data Scientist- Gen AI
Malvern, AR · On-site
$100 - $130/hr
Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications * Curiosity and ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Familiar with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or orchestration frameworks. * Capable of working with GraphQL, microservices, or event-driven systems in fast-paced ...
Principal, Data Scientist
Cave Springs, AR · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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
Tontitown, AR · On-site
$110K - $220K/yr
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
Tontitown, AR · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
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 · On-site
$110K - $220K/yr
Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.
Internship Retrieval Augmented Generation information
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 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 the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?
| Aspect | Internship Retrieval Augmented Generation | Internship Data Analyst |
|---|---|---|
| Required Skills | Knowledge of AI, NLP, retrieval systems, programming | Data analysis, statistical skills, Excel, SQL |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, marketing departments |
| Employer Usage | Develop AI models, improve retrieval systems | Analyze 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.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Arkansas?
The most popular types of Retrieval Augmented Generation jobs in Arkansas are:
What are popular job titles related to Internship Retrieval Augmented Generation jobs in Arkansas?
For Internship Retrieval Augmented Generation jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Internship Retrieval Augmented Generation jobs in Arkansas look for?
The top searched job categories for Internship Retrieval Augmented Generation jobs in Arkansas are:
What cities in Arkansas are hiring for Internship Retrieval Augmented Generation jobs?
Cities in Arkansas with the most Internship Retrieval Augmented Generation job openings:
AI Engineer
Little Rock, AR • On-site
AAIT Health
Full-time
Re-posted 16 days ago
Job description
Description:
About Us
AAIT Health (Advanced Artificial Intelligence Technology Health) is building a modern, HIPAA-compliant Electronic Medical Records (EMR) platform. We’re focused on turning today’s best AI and LLM capabilities into reliable, secure, production-grade workflows embedded directly into the EMR experience, so clinicians and staff can work smarter, faster, and with less administrative burden.
What You’ll Do
- Build agentic AI systems that can execute multi-step workflows (e.g., chart review ? summarize ? recommend next actions ? draft documentation ? route tasks) with appropriate human oversight.
- Design and implement tool-using LLM workflows (function calling / tools, retrieval, structured outputs, planner–executor patterns, and guardrails).
- Integrate AI capabilities into our EMR via backend services and APIs (e.g., .NET Core services, MySQL, and modern frontend clients).
- Implement retrieval-augmented generation (RAG) and clinical knowledge workflows that query patient context, incorporate medical reference content, and cite sources with traceability.
- Engineer safety, privacy, and compliance into AI workflows, including PHI-safe processing, audit logs, role-based access, minimum-necessary data, prompt/data redaction, and secure storage.
- Evaluate and improve quality using automated and human-in-the-loop evaluation (e.g., grounding, hallucination rates, task success, latency, and cost).
- Deploy and operate AI services in production, including monitoring, rate limiting, fallbacks, caching, incident response, and model/provider switching.
- Collaborate cross-functionally with product, clinical SMEs, security/compliance, and engineering to ship AI-powered features that users trust.
Role Details
- Full-time position with presence in the office required.
- Core schedule: Monday–Thursday 8:00 a.m. to 5:00 p.m. and Friday 8:00 a.m. to 12:00 p.m., with occasional work outside regular business hours as needed.
- Travel may be required.
- The position operates in a professional office environment and involves significant time writing, typing, speaking, listening, standing, sitting, walking, and reaching.
- Operation of standard office equipment, non-CDL motor vehicles, mobile phones, and related technology is expected.
You Might Be a Fit If
- You have strong software engineering fundamentals and production experience (APIs, testing, debugging, performance).
- You have hands-on experience building with LLMs (OpenAI/Anthropic/others), including tool/function calling, structured outputs, and retrieval-augmented generation (RAG).
- You’ve integrated AI into real products (not just notebooks or demos) and understand the tradeoffs of latency, cost, and quality.
- You can design for reliability with deterministic interfaces, schema validation, retries, fallbacks, and evaluation.
- You are comfortable working across backend and data, and optionally some frontend integration.
- You communicate clearly, enjoy collaborating with cross-functional partners, and can explain complex AI behavior to non-technical stakeholders.
- You are comfortable operating in a startup-like environment, prioritizing impact and iterating quickly while maintaining quality.
Bonus Points
- Experience in healthcare, EMR, or clinical workflows; familiarity with standards such as HL7/FHIR.
- Experience with .NET Core, MySQL, and cloud deployment (Azure is a plus).
- Familiarity with security and compliance practices such as HIPAA and SOC2-style controls, including RBAC and audit logging.
- Experience building evaluation pipelines (golden datasets, offline eval, red-teaming, prompt regression tests).
- Experience with vector databases/search or building retrieval layers over relational and document stores.
- Knowledge of PHI de-identification, redaction, and safe data handling.
Tech Stack
- Frontend: React + Vite + TypeScript
- Backend: .NET Core services
- Database: MySQL
- Cloud: Azure, AWS
- AI: LLM APIs, retrieval/vector search, observability & evaluation tooling