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Internship Retrieval Augmented Generation Jobs in Arizona

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

RAG (retrieval-augmented generation), tool invocation, structured outputs (JSON), and safe fallbacks for critical paths. - Implement model orchestration and model ops practices: prompt/version ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Internship or early-career experience in fintech or other regulated environments. * Contributions ... Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data ...

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

Retrieval-Augmented Generation (RAG) pipelines * Autonomous task execution patterns * Tool-use integration frameworks * Establish reference architectures for an AI-first PDLC covering: * Design

Consumer Cellular

Senior AI Engineer

Scottsdale, AZ · On-site

$55.75 - $71.75/hr

Design Retrieval-Augmented Generation (RAG) architectures leveraging enterprise knowledge. * Build scalable AI platforms capable of supporting multiple business domains. * Define standards for AI ...

Globe Telecom, Inc.

Fullstack AI Engineer

Globe, AZ

Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources. * API Design: Creating the bridges (REST/GraphQL) that allow front-end components to ...

Judge Group, Inc.

Software Engineer 4

Chandler, AZ · On-site

$69 - $74/hr

Retrieval-Augmented Generation (RAG) * GraphRAG * Model Context Protocol (MCP) Data Engineering Experience * 5+ years of hands-on data engineering experience. * Experience designing and supporting ...

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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.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Arizona? The most popular types of Retrieval Augmented Generation jobs in Arizona are:
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Internship Retrieval Augmented Generation jobs near you

AI Engineer (Forward Deployed Engineer)

Globe Telecom, Inc.

Globe, AZ

Full-time

Posted 23 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The AI Engineer (Forward Deployed Engineer) is an AI practitioner within Globe's AI
Group who designs, builds, and ships AI-powered applications and agents
that teams across the company actually use.

The AI Engineer does hands-on work with large language models and, where the problem calls for it, deep learning, turns real business problems into working solutions: writing production code, embedding with a Globe business team (forward-deployed), and owning the problem end to end. This is a builder role centered on strong fundamentals, rapid delivery, and a genuine drive to make things that work.

DUTIES AND RESPONSIBILITIES:

Design, build, and ship AI-powered apps and agents that teams

across Globe actually use, working with Python, React, Tailwind,

Databricks, and GCP

Work with large language models through prompting, RAG, and

AI agents, with a real understanding of how they work under the

hood

Train and apply deep learning models where the problem calls for

it

Add explainability and monitoring so the systems you ship can be

trusted and understood

Support the project management of Globe's AI enterprise

platform, from planning to delivery

Embed with a Globe business team, learn its problem deeply, and

own the solution end to end

Write code that goes live, working side by side with the business

team whose problem you are solving

Help teams across Globe put AI to work in real products

REQUIREMENTS:

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field. A Master's degree is an advantage but not required.

  • Preferably At least 2 years of professional experience in software engineering, AI engineering, machine learning, or related technical roles, with hands-on experience developing and deploying production applications, but fresh graduates are welcome to apply

  • Familiarity designing and building AI-powered applications using modern programming languages such as Python, with exposure to frontend frameworks such as React and modern web technologies.

  • Familiarity working with Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, or similar generative AI technologies.

  • Familiarity with cloud platforms such as Google Cloud Platform (GCP), Databricks, or equivalent AI and data platforms.

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Apply