ZipRecruiter

Log In

1

Internship Retrieval Augmented Generation Jobs (NOW HIRING)

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Futran Tech Solutions Pvt. Ltd.

Data Scientist

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 ...

Scalence L.L.C.

AWS AI Platform Engineer

Raleigh, NC · On-site

Responsibilities : • Lead onboarding of business applications onto the enterprise AI platform. • Design and implement Retrieval-Augmented Generation (RAG) architectures. • Act as the primary ...

Alpha Consulting Corp.

Python AI Dev

Jersey City, NJ · On-site

$55 - $75.75/hr

... Retrieval-Augmented Generation) implementations • LangChain, LlamaIndex, OpenAI, Azure OpenAI, Anthropic, or similar frameworks • API development using FastAPI, Flask, or Django • Strong SQL ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL

... Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on ... Strong foundation in Python programming, gained through coursework, projects, internships, and/or ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Contribute to the implementation of retrieval-augmented generation (RAG) systems, including working ...

Onto

AI/ML Internship

Hillsboro, OR

Job Summary & Responsibilities Job Summary MBU (Metrology Business Unit) is seeking a highly motivated AI/ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG ...

Onto

AI/ML Internship

Hillsboro, OR · On-site

Job Summary & Responsibilities Job Summary MBU (Metrology Business Unit) is seeking a highly motivated AI/ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG ...

CYNET SYSTEMS

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$70 - $75/hr

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

Onto

AI/ML Internship

Milpitas, CA

Job Summary & Responsibilities Job Summary MBU (Metrology Business Unit) is seeking a highly motivated AI/ML Intern to support validation and optimization of a Retrieval-Augmented Generation (RAG ...

next page

Showing results 1-20

All JobsInternship Retrieval Augmented Generation Jobs

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:
What states have the most Internship Retrieval Augmented Generation jobs? States with the most job openings for Internship Retrieval Augmented Generation jobs include:
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:
Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in the United States as of June 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

AI Developer (F2F/In-Person interview is mandatory at Dearborn, MI)

HPTech Inc.

Dearborn, MI • On-site

Other

Posted 4 days ago

Job description

NOTE: F2F/In-Person interview is mandatory.

Job Summary

We are seeking a highly skilled AI Developer with hands-on experience in building, deploying, and optimizing Generative AI applications using Large Language Models (LLMs). The ideal candidate will have strong expertise in LangChain, LangGraph, Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and modern AI application architectures. You will work closely with product, engineering, and business teams to design and implement intelligent AI solutions that drive business value.

Required Skills & Qualifications:

Technical Skills

  • Strong proficiency in Python programming.
  • Hands-on experience with:
    • Large Language Models (OpenAI, Anthropic, Llama, Gemini, Mistral, etc.)
    • LangChain
    • LangGraph
    • Retrieval-Augmented Generation (RAG)
    • Prompt Engineering
    • AI Agents and Agentic Workflows
  • Experience with vector databases such as:
    • Pinecone
    • Weaviate
    • Chroma
    • FAISS
    • Milvus
  • Knowledge of embedding models and semantic search techniques.
  • Experience integrating REST APIs and third-party AI services.
  • Familiarity with model evaluation, hallucination mitigation, and AI quality assessment.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of containerization and deployment technologies:
    • Docker
    • Kubernetes
  • Experience with Git and CI/CD pipelines.

Database & Data Skills

  • Experience working with SQL and NoSQL databases.
  • Understanding of data pipelines, document processing, and data ingestion workflows.
  • Knowledge of structured and unstructured data management.

AI/ML Knowledge

  • Understanding of machine learning fundamentals.
  • Familiarity with NLP concepts and transformer architectures.
  • Experience with frameworks such as:
    • Hugging Face Transformers
    • PyTorch
    • TensorFlow (optional)

Apply