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Internship Retrieval Augmented Generation Jobs in Utah

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Design and manage vector databases and embedding pipelines to support semantic search and Retrieval-Augmented Generation (RAG). * Build and optimize retrieval pipelines including hybrid search ...

CardWorks

Director, Data Science

South Jordan, UT

Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · Hybrid

$98K - $135K/yr

Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)

Lucid Software

Sr. Product Manager, AI

Salt Lake City, UT · On-site +1

$122K - $161K/yr

Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...

Lucid Software

Sr. Product Manager, AI

Salt Lake City, UT · On-site

$122K - $161K/yr

Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...

Doist

Sr. Product Manager, AI

Salt Lake City, UT · On-site

$120 - $180/hr

Strong understanding of modern AI systems, including agent architectures, tool use, retrieval-augmented generation (RAG), AI evaluations, and the tradeoffs between quality, latency, reliability, and ...

Epicor

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · On-site

$98K - $135K/yr

Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)

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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?

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.

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

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

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For Internship Retrieval Augmented Generation jobs in Utah, the most frequently searched job titles are:

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The top searched job categories for Internship Retrieval Augmented Generation jobs in Utah are:

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Cities in Utah with the most Internship Retrieval Augmented Generation job openings:

Internship Retrieval Augmented Generation jobs near you

Quality Assurance Engineer (Remote)

MRIoA

Salt Lake City, UT • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Description
Who We Are - Motivated by Purpose. Powered by Clinical Expertise.
Founded in 1983, we're a clinically-driven, tech-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
Excellence starts with our people.
WE OFFER
  • A competitive compensation package
  • Benefits include healthcare, vision, and dental insurance
  • A generous 401(k) match
  • Paid vacation, PTO, and holidays
  • Growth and training opportunities
  • An award-winning remote work environment

POSITION OVERVIEW
Quality Assurance Engineer is a corporate function within the Engineering organization responsible for the quality, reliability, and release-readiness of software products built on modern technologies, including cloud-native applications hosted on Microsoft Azure and AI/ML-enabled features.
Roles:
  • Primary role is testing software applications created or updated by the Application Development team.
  • Conduct structured peer and code reviews of test artifacts to ensure adherence to standards and best practices.
  • Design, create, and maintain realistic and compliant test data sets, including synthetic data for healthcare (PHI-safe) scenarios.
  • Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation.

Major Responsibilities or Assigned Duties:
  • Participate in the test management lifecycle, including test planning, execution tracking, defect management and reporting.
  • Provide input on release readiness criteria to Engineering and Product stakeholders.
  • Maintain the regression suite after every release.
  • Develop and maintain automated test suites in Python (e.g., pytest) and JavaScript/Node.js, integrated into CI/CD pipelines.
  • Write and review complex SQL queries, joins, and aggregations to validate data accuracy, completeness, and reconciliation across systems.
  • Validate data flows across source systems, transformation layers, and reporting/consumption layers.
  • Ensure test data supports both functional automation and AI/ML / RAG evaluation needs.
  • Design and execute test strategies for AI/ML and Retrieval-Augmented Generation (RAG) pipelines and AI-assisted features, including retrieval accuracy, grounding, hallucination, output quality, bias/safety, and drift (regression) checks.
  • Build and maintain automated evaluation harnesses and datasets for AI/ML features, including prompt/response scoring and metric tracking.
  • Validate applications, APIs, and test environments deployed on on-prem data center, Microsoft Azure, including Azure-hosted services, data stores, and CI/CD pipelines.
  • Read and interpret React / Node.js / Python / ColdFusion source code, pull requests, and technical designs to identify testable conditions, edge cases, and regression risk.
  • Write detailed test cases and test plans that trace directly to code paths, business rules, and acceptance criteria.
  • Partner with developers during code review to flag insufficient test coverage, untested branches, and high-risk changes before merge.
  • Perform post-deployment validation to confirm application, API, and AI feature stability in production.
  • Investigate production defects and data issues, perform root cause analysis, and drive resolution with Engineering.

Requirements
Skills and Experience:
  • 5+ years of experience in automated software testing
  • 5+ years of experience in manual software testing
  • 5+ years of experience in component-level testing
  • 5+ years of experience in end-to-end testing
  • Proficiency in SQL
  • Proficiency in React
  • Proficiency in Node.js
  • Proficiency in Python source code in GitLab
  • Proficiency in testing Artificial Intelligence (AI)
  • Proficiency in testing Machine Learning (ML)
  • Proficiency in evaluating Artificial Intelligence (AI)
  • Proficiency in evaluating Machine Learning (ML)
  • Proficiency in testing Retrieval-Augmented Generation (RAG)
  • Proficiency in testing generative AI features
  • Proficiency in testing workloads on Microsoft Azure

Education:
  • High School Diploma required
  • Bachelor's degree (Advantage)

Work Environment:
Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).
Diversity Statement:
Diversity creates a healthier atmosphere: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Drug-Free Workplace:
This company is a drug-free workplace. All candidates are required to pass a Background Screen before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information.
California Consumer Privacy Act (CCPA) Information (California Residents Only):
  • Sensitive Personal Info: MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver's license number, or state identification card number, and passport number.
  • Data Access and Correction: Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at HR@mrioa.com.

Apply