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Rag Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$100 - $130/hr

Hands-on experience with agent frameworks, RAG pipelines, and prompt engineering at scale * Proficiency TypeScript for building AI services and APIs. * Familiarity with vector databases, embedding ...

WI · On-site

$65 - $85/hr

Work on implementing Generative AI solutions , including RAG (Retrieval‑Augmented Generation ... The Senior Azure Cloud‑Native Developer/Architect will be responsible for architecting ...

New

Manager, AI Engineering

Milwaukee, WI · On-site

$150 - $230/hr

The Manager, AI Engineering will own the technical engineering capability for ISC AI. This includes ... Define solution approaches for GenAI applications, LLMs, RAG pipelines, prompt orchestration ...

Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate knowledge retrieval. * Apply software engineering best practices-testing, version control, and code review ...

WI · On-site

$120 - $160/hr

The company helps engineering teams debug distributed workflows in minutes, deliver business ... Experience building or integrating AI/ML pipelines, RAG systems, or LLM‑powered features into ...

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

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

Implement retrieval and embedding workflows (RAG, vector databases) for scalable, accurate knowledge retrieval. * Apply software engineering best practices-testing, version control, and code review ...

... learning, RAG, enterprise search and intelligent automation. You will work with AI engineers, platform engineers, software teams, data scientists, product teams, cyber security, enterprise ...

The Forward Deployed Engineer is a product-minded, hands-on engineer who works with strategic ... Modern software delivery with AI/GenAI, LLMs, RAG, agentic workflows, AI evaluation, prompt ...

New

WI · On-site

$125 - $150/hr

This role is ideal for engineers who love solving complex problems, building production software ... RAG, tool use, and agent-based workflows. * Design application architectures that balance ...

WI · On-site

$140 - $210/hr

Hands-on development and implementation of multiple RAG solutions. * Hands-on experience leveraging ... Strong software engineering foundation with proven experience writing production-deployed solutions ...

Our AI Engineer role sits at the center of that work: building, operating, and scaling the AI ... Design retrieval and context strategies (RAG, structured data access, caching, chunking, ranking ...

WI · On-site

$90 - $130/hr

Engineer robust RAG pipelines: data ingestion, chunking, embeddings, indexing, caching and retrieval optimization for vector stores (Azure AI Search/Redis/pgvector). * Harden runtime infrastructure ...

New

Sr. Engineer, AI Platform

Madison, WI · On-site

$99 - $199/hr

Position Overview The Lead Engineer, Artificial Intelligence is a pivotal position responsible for ... RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business ...

Showing results 41-60

Rag Engineer information

See Wisconsin salary details

$60.1K

$91.4K

$154.9K

How much do rag engineer jobs pay per year?

As of Sep 3, 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 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.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

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:

Infographic showing various Rag Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $91,358 per year, or $43.9 per hour.

Founding AI Engineer

EAGL

WI • On-site

$100 - $130/hr

Other

Posted 15 days ago


Job description

Every great business decision starts with trustworthy financial data — yet most finance teams are stuck reconciling spreadsheets, exports, and reports across fragmented systems. The result? Endless manual checks, late nights, and a lack of confidence in the numbers.

Eagl is changing that.

We’re building the modern financial intelligence platform for accountants and controllers — one that makes financial data transparent, explainable, and instantly trustworthy. By weaving together ERP data, AI reasoning, and intuitive workflows, we help finance teams close the books faster, detect anomalies earlier, and understand every number at a glance. All in seconds, not hours.

We’re early, ambitious, and moving fast — backed by Syndicate One and exceptional founders from leading European SaaS companies.

How We Work

We believe A+ players build A+ companies. We move fast, think deeply, and hold a high bar for everything we ship, from the codebase to the customer experience. We value clarity over noise, ownership over hierarchy, and execution over talk.

At Eagl, you’ll work with people who obsess over impact, not process. You’ll have extreme autonomy, real technical ownership, and the chance to shape a product that defines how modern finance teams work.

About The Role

We’re looking for an AI Engineer to own the intelligence layer at the heart of Eagl. You’ll design, build, and iterate on the AI systems that power anomaly detection, automated reconciliation, flux analysis, and explainable financial insights.

You’ll work directly with the founders to define how AI is woven into every part of the product — from LLM-driven agents that automate complex workflows to retrieval and reasoning pipelines that make every number trustworthy. This is a foundational role: you’ll shape the AI architecture from scratch and have outsized impact on what we ship and how customers experience it.

What You’ll Do
  • 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 explainability systems that surface insights from complex ERP data.
  • Architect the AI infrastructure — model orchestration, evaluation, prompt engineering, and feedback loops — to ensure reliability at scale.
  • Collaborate closely with product and backend engineers to integrate AI capabilities seamlessly into the user experience.
  • Stay at the frontier of applied AI research and bring the best ideas into production.
What You’ll Bring
  • Strong experience building production AI/ML systems, particularly with LLMs
  • Hands-on experience with agent frameworks, RAG pipelines, and prompt engineering at scale
  • Proficiency TypeScript for building AI services and APIs.
  • Familiarity with vector databases, embedding models, and evaluation frameworks
  • A builder’s mindset: you thrive in fast-moving environments and care about delivering quality fast
  • Bonus: experience with financial data, ERP systems, or accounting workflows.
  • Bonus: Familiarity with LangChain, Temporal, or similar orchestration tools
  • Excitement about applying AI to solve real, high-impact problems in finance
Interested in this role?

We're looking for talented, motivated people who love doing bold things.

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