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Internship Retrieval Augmented Generation Jobs (NOW HIRING)

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services , Retrieval-Augmented Generation (RAG) , and modern ...

Build and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions. Develop AI-powered applications using Python and modern AI frameworks. Integrate OpenAI, Azure OpenAI ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

AI Engineer

Las Vegas, NV · On-site

$60 - $70/hr

Develop RAG (Retrieval-Augmented Generation) applications using vector databases. * Build REST APIs and integrate AI services with enterprise applications. * Design AI agents, chatbots, and ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

The role focuses on Retrieval Augmented Generation (RAG), semantic search, vector databases, metadata engineering, and enterprise knowledge orchestration to deliver secure, accurate, and context ...

Design and implement enterprise Retrieval Augmented Generation (RAG) architectures for GenAI platforms and applications. * Build and optimize semantic retrieval pipelines, vector search ...

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...

Senior AI Technologist

Raleigh, NC · On-site

$48.75 - $63/hr

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents ...

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

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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.

More about Internship Retrieval Augmented Generation jobs
What cities are hiring for Internship Retrieval Augmented Generation jobs? Cities with the most Internship Retrieval Augmented Generation job openings:
What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
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What job categories do people searching Internship Retrieval Augmented Generation jobs look for? The top searched job categories for Internship Retrieval Augmented Generation jobs are:
Infographic showing various Internship Retrieval Augmented Generation job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.
Junior AI Engineer

Junior AI Engineer

ITR Group

Minneapolis, MN • On-site

Other

Posted 11 days ago


Job description

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise Generative AI applications using Azure AI services, Retrieval-Augmented Generation (RAG), and modern cloud technologies. This is an excellent opportunity for an early-career AI engineer with a strong software engineering foundation and a passion for developing AI-powered solutions.


Responsibilities

  • Develop and support Generative AI applications using Azure AI services and OpenAI models.
  • Assist in designing and implementing Retrieval-Augmented Generation (RAG) pipelines.
  • Build document ingestion, indexing, embedding, and retrieval workflows.
  • Develop APIs and backend services supporting AI-powered applications.
  • Work with structured and unstructured data sources to improve AI response quality.
  • Integrate AI solutions with enterprise applications and business workflows.
  • Collaborate with data engineers to prepare and optimize datasets for AI applications.
  • Evaluate AI model performance and continuously improve prompt engineering and retrieval strategies.
  • Participate in code reviews, testing, debugging, and deployment activities.
  • Document AI solutions, technical designs, and best practices.


Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent experience).
  • 1–3 years of software engineering or AI development experience.
  • Experience with Python.
  • Understanding of REST APIs and backend development.
  • Familiarity with Large Language Models (LLMs) and Generative AI concepts.
  • Basic understanding of Retrieval-Augmented Generation (RAG) architecture.
  • Experience working with Git and Agile development methodologies.
  • Strong problem-solving and analytical skills.
  • Experience with Microsoft Azure cloud services.





ITR Group logo

About ITR Group

Sourced by ZipRecruiter

At ITR Group, we relish the challenge of the ever evolving IT services industry and enjoy being the strategic edge that’s key to our clients’ success. At the same time, we want our consultants to know they have an advocate and a home base. As one of the region’s longest lasting IT consulting groups, these are all elements of our secret sauce, the Everyday Excellence that has helped us thrive.

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mendota Heights, MN, US

Year founded

1997

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