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Assistant Retrieval Augmented Generation Jobs in Wisconsin

Qualysoft

$52.75 - $72.75/hr

Design, development and optimization of complete Retrieval-Augmented Generation pipelines ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Litecycle

WI · On-site

Praktische ervaring met AI in productie: retrieval-augmented generation, evals, fine-tuning, agentic architectures. * Stevige basiskennis van de principes van software engineering en architecture

Falkor

WI · On-site

Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), search and other AI capabilities. * Build efficient end-to-end pipelines that handle large ...

EM Key Solutions Inc

Temporary AI Engineer

Oregon, WI · On-site

Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows. * Develop intelligent automation ...

LHH US

AI Specialist

Brookfield, WI · Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

Umicore

WI · On-site

Experience designing AI agents, multi-agentarchitecturesand tool-enabled AI systemsKnowledge of Retrieval-Augmented Generation (RAG), knowledgegroundingand trustworthy AI design principles

Springs Window Fashions and Affiliated Companies

WI · On-site

$55.50 - $71.50/hr

Develop and operationalize generative AI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), copilots, and intelligent automation. * Partner with business ...

LHH US

AI Specialist

Brookfield, WI · Hybrid

$125K - $160K/yr

Strong understanding of Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and responsible AI practices. * Experience with Power Automate, SharePoint, Teams integrations, Microsoft Graph, and ...

EAGL

WI · On-site

Design and build AI agents and pipelines using LLMs, planning frameworks, and retrieval-augmented generation to automate financial workflows. * Develop anomaly detection, pattern recognition, and ...

Abbott Laboratories

Sr. Engineer, AI Platform

Madison, WI · On-site

$99K - $198K/yr

... Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications. * Complete the development ...

Umicore Belgium

WI · On-site

Experience designing AI agents, multi-agentarchitecturesand tool-enabled AI systemsKnowledge of Retrieval-Augmented Generation (RAG), knowledgegroundingand trustworthy AI design principles

TiTANS Consulting

WI · On-site

... Assistant, AI-gedreven media optimalisatie agents, AI-gestuurde zoekervaringen en agentic AI ... Retrieval Augmented Generation (RAG), AI-ondersteunde content generatie * Voorkeur voor ervaring in ...

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 ...

EUA

AI + Technology Specialist

Milwaukee, WI · On-site

Support AI governance, security, privacy, and responsible use initiatives. * Assist with AI pilots ... Understanding of prompt engineering, retrieval-augmented generation (RAG), model grounding, and ...

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Assistant Retrieval Augmented Generation information

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

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

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For Assistant Retrieval Augmented Generation jobs in Wisconsin, the most frequently searched job titles are:

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Assistant Retrieval Augmented Generation jobs near you
Infographic showing various Assistant Retrieval Augmented Generation job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

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

Hybrid

Qualysoft
See more jobs at Qualysoftexternal

$52.75 - $72.75/hr

Contractor

Re-posted 21 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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