ZipRecruiter

Log In

1

Internship Retrieval Augmented Generation Jobs in Raleigh, NC

Berriehill Research

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 ...

ARA

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 ...

Elsevier

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Ability to design tool-augmented agents (function calling, retrieval-augmented generation, memory systems, planning/execution loops). Experience with prompt engineering, evaluation, and guardrails ...

RELX

Principal Software Engineer-Agentic AI

Raleigh, NC

$131K - $175K/yr

Ability to design tool-augmented agents (function calling, retrieval-augmented generation, memory systems, planning/execution loops). Experience with prompt engineering, evaluation, and guardrails ...

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

New

IQVIA

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

New

TEKsystems

Principal Data Scientist

Cary, NC

$50 - $85/hr

... Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing Top Skills Details data science,nlp,indexing,semantic search,conversational search,langchain,Generative AI,Large ...

IQVIA, Inc.

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

Deloitte

Oracle Gen AI Manager

Raleigh, NC

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

Archgroup

AVP, AI Engineering (Remote - EST)

Raleigh, NC · Remote

$185K - $235K/yr

Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output patterns. * Cloud experience in Azure (preferred for our stack) and/or AWS; familiarity with private ...

UnitedHealth Group

Senior Software Engineer

Raleigh, NC · Remote

$119K - $157K/yr

Implement LLM-based capabilities, including prompt engineering, fine-tuning, Retrieval Augmented Generation (RAG), vector databases/indexing, evaluation frameworks, and safety/guardrails to ensure ...

Archgroup

AVP, AI Engineering (Remote - EST)

Raleigh, NC · Remote

$185K - $235K/yr

Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output patterns. * Cloud experience in Azure (preferred for our stack) and/or AWS; familiarity with private ...

next page

Showing results 1-20

All JobsRetrieval Augmented Generation JobsInternship Retrieval Augmented Generation JobsInternship Retrieval Augmented Generation Jobs in Raleigh, NC

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 Raleigh, NC? The most popular types of Retrieval Augmented Generation jobs in Raleigh, NC are:
What are popular job titles related to Internship Retrieval Augmented Generation jobs in Raleigh, NC? For Internship Retrieval Augmented Generation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Internship Retrieval Augmented Generation jobs in Raleigh, NC look for? The top searched job categories for Internship Retrieval Augmented Generation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Retrieval Augmented Generation jobs? Cities near Raleigh, NC with the most Internship Retrieval Augmented Generation job openings:
Internship Retrieval Augmented Generation jobs near you

Senior AI Technologist

Berriehill Research

Raleigh, NC • On-site, Remote

$48.75 - $63/hr

Full-time

Re-posted 10 days ago

Job description

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our enterprise AI program from the ground up by identifying high-value use cases, assessing AI readiness, and guiding the implementation of secure, scalable AI solutions.

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, and automation frameworks to solve real business challenges and improve operational efficiency. This role focuses on applying existing AI technologies to deliver business value rather than developing or training AI models.

You will partner with technical teams to deploy AI solutions in highly regulated on-premises and cloud environments while ensuring alignment with security, governance, and enterprise architecture standards.

Essential Functions:

  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and establish data structures, metadata models, naming conventions, and information architecture standards that enable scalable AI solutions.
  • Design AI solution approaches using existing technologies such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and orchestration frameworks to address business and operational challenges.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.

Preferred:

  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

Apply