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Internship Retrieval Augmented Generation Jobs in Delaware

Percient Inc.

Agentic AI

Wilmington, DE · On-site

Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications. * Ability to independently own user stories from ...

CardWorks

Director, Data Science

Wilmington, DE

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

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and ...

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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 Delaware?

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

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

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

Internship Retrieval Augmented Generation jobs near you

Senior Python AI Developer(RAG/LLM)

Wilmington, DE • On-site

Donato Technologies, Inc
IT Services • 51 - 200 employees
Learn more about Donato Technologies, Incexternal

$70/hr

Contractor

Posted 18 days ago

Job description

The client is seeking a highly experienced Senior Python AI Developer with expertise in building enterprise-grade Generative AI applications. The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI platforms for financial services.
Required Skills
  • 10+ years of software development experience
  • Strong expertise in Python development
  • Hands-on experience building Retrieval-Augmented Generation (RAG) applications
  • Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
  • Strong knowledge of vector databases including Pinecone, FAISS, Weaviate, ChromaDB, or Milvus
  • Experience with embedding models and semantic search
  • Experience developing REST APIs using FastAPI or Flask
  • Experience with prompt engineering and AI workflow optimization
  • Strong SQL and NoSQL database experience
  • Experience with Docker and Kubernetes
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with Git, CI/CD, and DevOps practices
  • Understanding of AI security, governance, and responsible AI practices
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Financial or banking domain experience
  • Experience with OCR and document intelligence
  • Knowledge of AI agents and multi-agent frameworks
  • Experience deploying enterprise AI solutions
  • Experience with model evaluation and observability
Responsibilities
  • Design and build enterprise RAG solutions
  • Develop scalable AI services using Python
  • Build semantic search and document retrieval pipelines
  • Integrate vector databases and LLMs
  • Optimize prompt engineering and retrieval strategies
  • Collaborate with data scientists, architects, and business stakehold

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.