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Rag Engineer Jobs in Wisconsin (NOW HIRING)

Qualysoft

$52.75 - $72.75/hr

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 ...

Rivi Consulting Group

Python AI Developer

Green Bay, WI · On-site

$49 - $67.25/hr

... engineer to help scale our backend infrastructure and deepen our agentic capabilities. This individual will not just be wrapping APIs; they will be building the memory layers, RAG pipelines, and ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

Implement RAG architectures, agentic workflows, and prompt engineering patterns for production GenAI applications * Contribute to MLOps practices: model versioning, monitoring, evaluation, and ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI

$107K - $147K/yr

LLMs, RAG, copilots, and automation * Able to explain what you built to an executive in two sentences and to an engineer in two hundred Preferred * Experience with Microsoft Copilot, Azure OpenAI, or ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

LLMs, RAG, copilots, and automation * Able to explain what you built to an executive in two sentences and to an engineer in two hundred Preferred * Experience with Microsoft Copilot, Azure OpenAI, or ...

Springs Window Fashions

Senior AI Engineer

Middleton, WI · On-site

$107K - $147K/yr

LLMs, RAG, copilots, and automation * Able to explain what you built to an executive in two sentences and to an engineer in two hundred Preferred * Experience with Microsoft Copilot, Azure OpenAI, or ...

Genesys

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the ... Experience building RAG-based systems, vector databases, and semantic search architectures.

Genesys

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the ... Experience building RAG-based systems, vector databases, and semantic search architectures.

Johnson Controls

AI Engineer

Glendale, WI · On-site

Implement RAG architectures, agentic workflows, and prompt engineering patterns for production GenAI applications * Contribute to MLOps practices: model versioning, monitoring, evaluation, and ...

Qualysoft

B. RAG-Applikationen) in Microsoft Azure Aufbau, Orchestrierung und Weiterentwicklung von AI ... mit DevOps-Prinzipien und CI/CD-Pipelines Praktische Erfahrung mit Docker und Azure Kubernetes ...

US Bank

Lead AI/ML Solutions Engineer

Brookfield, WI · On-site

$97K - $127K/yr

Help development teams implement solutions using LLMs, RAG, agent frameworks, and modern AI capabilities * Collaborate with platform engineering teams to leverage approved enterprise AI technologies ...

8100 United States - Genesys Cloud Services, Inc.

WI · On-site

$205.20 - $360.80/hr

Build Retrieval‑Augmented Generation (RAG) solutions, knowledge orchestration frameworks, and ... Mentor engineers and architects on AI solution design, development practices, and emerging ...

Zendesk

Senior Fullstack Engineer, Solve

Madison, WI

$123K - $162K/yr

We're seeking a Senior Fullstack Engineer to help build Solve - an AI-powered conversation engine ... Build and optimize the RAG pipeline: embeddings, semantic retrieval, hybrid ranking, and evidence ...

Zendesk

Senior Fullstack Engineer, Solve

Madison, WI · On-site

$123K - $162K/yr

We're seeking a Senior Fullstack Engineer to help build Solve - an AI-powered conversation engine ... Build and optimize the RAG pipeline: embeddings, semantic retrieval, hybrid ranking, and evidence ...

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Showing results 1-20

All JobsRag Engineer JobsRag Engineer Jobs in Wisconsin

Rag Engineer information

See Wisconsin salary details

$60.1K

$91.4K

$154.9K

How much do rag engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for rag engineer in Wisconsin is $91,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $106,000.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Wisconsin? For Rag Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Wisconsin look for? The top searched job categories for Rag Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Rag Engineer jobs? Cities in Wisconsin with the most Rag Engineer job openings:
Rag Engineer jobs near you
Infographic showing various Rag Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $91,358 per year, or $43.9 per hour.

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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