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Internship Retrieval Augmented Generation Jobs in Wisconsin

Qualysoft

$52.75 - $72.75/hr

Design, development and optimization of complete Retrieval-Augmented Generation pipelines * Implementation of document ingestion and data-processing workflows * Development of suitable document ...

Husch Blackwell Llp

Software Developer

Madison, WI · On-site +1

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Husch Blackwell Llp

Software Developer

Milwaukee, WI · On-site +1

Retrieval-Augmented Generation (RAG) architectures * AI agents and orchestration frameworks * Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and ...

Deloitte

Oracle Gen AI Manager

Milwaukee, WI

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

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Cayenta

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Cayenta

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

Harris

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal drafting * Curate and maintain a high-quality answer corpus: writing net-new content, retiring stale ...

AllSTEM Connections

Principal AI Engineer

Milwaukee, WI · On-site

$197K - $208K/yr

Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database strategies, and embedding models that ensure high-performance, accurate retrieval. Qualifications ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG). * Supply chain background Location & Authorization: This is a hybrid role requiring proximity to one of our U.S ...

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

Python Developer - Generative AI / RAG (m/f/d)

Qualysoft

Hybrid

$52.75 - $72.75/hr

Contractor

Posted 6 days ago

Job description

For a challenging AI and data transformation project with a client in the telecommunications sector, we are looking for an experienced Python Developer - Generative AI / RAG (m/f/d) in Vienna.
The focus of the role is on the development of modern, data-driven AI applications and production-ready Retrieval-Augmented Generation solutions. We are looking for an experienced Python developer with a strong analytical mindset who can design, implement and optimize scalable backend services, data-processing workflows and end-to-end RAG pipelines.
You will take on a central role in the technical implementation of modern AI use cases and support the client in integrating Large Language Models and RAG based applications into existing data, cloud and system landscapes. You will work closely with AI architects, data scientists, software developers, business departments and technical stakeholders.
You can expect an innovative project environment with high technological relevance, international stakeholders and modern AI, data and cloud technologies.
 
440 - 480 a day
Conditions
Location: Vienna
Start: ASAP
Duration: 12 months+ option for extension
Capacity: 100 %
Working model: Hybrid, 2 days per week on site in Vienna
Project language: English
 
Your Tasks
  • Development and implementation of scalable Python applications, backend services and AI-based solutions
  • Design, development and optimization of complete Retrieval-Augmented Generation pipelines
  • Implementation of document ingestion and data-processing workflows
  • Development of suitable document parsing, preprocessing, chunking and metadata strategies
  • Generation, management and optimization of embeddings
  • Implementation of semantic search, vector search and hybrid search solutions
  • Integration and management of vector databases and retrieval systems
  • Development and optimization of retrieval and reranking mechanisms
  • Implementation of prompt construction, prompt templates and context-management strategies
  • Integration of Large Language Models for reliable and context-based answer generation
  • Implementation of citation handling, source attribution and traceability mechanisms
  • Development and integration of APIs and backend interfaces
  • Integration of AI applications into existing IT, data, database and cloud landscapes
  • Design and implementation of data-driven evaluation processes for RAG and AI solutions
  • Analysis and improvement of retrieval quality, answer quality, relevance and system performance
  • Development of automated unit, integration and end-to-end tests
  • Implementation of logging, monitoring, error handling and observability mechanisms
  • Creation of technical documentation and development standards
  • Application of professional software-development practices, including version control, code reviews and CI/CD
  • Collaboration with AI architects, data scientists, developers, business departments and other technical stakeholders
  • Support of AI use cases from technical conception through implementation to productive operation
Your Profile
  • At least 5+ years of professional experience in software development with Python
  • Very good knowledge of Python and modern Python software-development practices
  • Proven experience in the development of APIs, backend services and data-processing applications
  • Practical experience in the development and implementation of Retrieval-Augmented Generation solutions
  • Very good understanding of RAG architectures, Large Language Models and Generative AI applications
  • Experience with document ingestion, document parsing, preprocessing, chunking and metadata management
  • Experience with embeddings, semantic search, vector search, retrieval and reranking
  • Experience with vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma or PostgreSQL with pgvector
  • Experience with RAG and LLM frameworks such as LangChain, LlamaIndex or comparable technologies
  • Experience with relational and/or NoSQL databases
  • Sound understanding of APIs, integration patterns and backend architectures
  • Experience with Git and professional version-control workflows
  • Experience with unit testing, integration testing and automated software testing
  • Experience with logging, monitoring, debugging and production software operations
  • Knowledge of clean code principles, software architecture and maintainable application design
  • Strong data-driven and analytical mindset
  • Ability to evaluate technical solutions based on measurable quality, performance and business requirements
  • Completed degree in computer science, business informatics, data science, Artificial Intelligence or a comparable qualification
  • Very good written and spoken English skills
  • Structured, independent and solution-oriented way of working
  • Strong communication and collaboration skills
Nice to Have
  • Experience in the telecommunications environment
  • Experience with cloud technologies such as AWS, Microsoft Azure or Google Cloud
  • Experience with Docker, Kubernetes and CI/CD pipelines
  • Experience with Python frameworks such as FastAPI, Flask or Django
  • Knowledge of MLOps, LLMOps or AI platform architectures
  • Experience with the evaluation of RAG systems, including retrieval quality, answer relevance, groundedness, hallucination detection and citation accuracy
  • Experience with hybrid search, knowledge graphs or graph-based RAG architectures
  • Experience with agent-based AI systems and tool-using Large Language Models
  • Experience with open-source and commercial Large Language Models
  • Experience with LLM observability, tracing and evaluation platforms
  • Knowledge of AI governance, Responsible AI, data protection, security and compliance requirements
  • Experience in international and interdisciplinary project environments
  • Relevant AI, cloud or software-development certifications
 
What You Can Expect
  • Participation in an innovative AI and data transformation project in the telecommunications environment
  • Exciting technological environment with a focus on Python, Generative AI and Retrieval-Augmented Generation
  • Opportunity to develop and operate modern, production-ready AI applications
  • High level of personal responsibility and opportunities to shape technical solutions
  • Collaboration with international stakeholders and technical expert teams
  • Hybrid working model with 2 days per week on site in Vienna
  • Opportunity to actively shape scalable RAG and AI architectures
  • Use of modern Python, LLM, vector database and cloud technologies
  • Long-term relevant project environment with high strategic importance
Interested?
Please send us your current CV, including your availability and hourly rate expectations. We look forward to hearing from you.
You are welcome to contact me by email or via LinkedIn.
Elena Kahraman
Thank you for your understanding.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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