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Retrieval Augmented Generation Jobs in Wisconsin

Abbott

Lead AI Platform Engineer

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 ...

TiTANS Consulting

WI · On-site

$120 - $180/hr

Sterk begrip van LLM fundamentals, prompt engineering, AI evaluatie frameworks, Retrieval Augmented Generation (RAG), AI-ondersteunde content generatie * Voorkeur voor ervaring in digitale ...

Abbott

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 ...

Hispanic Alliance for Career Enhancement

WI · On-site

$107 - $261/hr

Develop robust Retrieval-Augmented Generation (RAG) systems using Bedrock Knowledge Bases, Vertex AI Vector Search, or custom vector databases (OpenSearch, Pinecone, FAISS, pgvector). * Design ...

New

Abbott

Sr. Engineer, AI Platform

Madison, WI

$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 ...

Caterpillar Brazil

WI · On-site

$173 - $259/hr

Deep understanding of modern AI/ML architectures including transformer models, retrieval-augmented generation (RAG), agent frameworks, and model orchestration patterns* **Analytical Thinking:

Caterpillar Brazil

WI · On-site

Deep understanding of modern AI/ML architectures including transformer models, retrieval-augmented generation (RAG), agent frameworks, and model orchestration patterns* Analytical Thinking: Expert ...

New

Genesys

WI · On-site

$205.20 - $360.80/hr

AI Architecture & Engineering** • Define scalable architectures for Agentic AI applications and intelligent workflow automation • Build Retrieval-Augmented Generation (RAG) solutions, knowledge ...

Johnson Controls

Sr. Solution Architect

Milwaukee, WI · On-site

Generative AI, Agentic AI, RAG (Retrieval-Augmented Generation), enterprise search, document intelligence, evaluation, and AI safety. Azure AI * Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ...

Genesys Cloud Services, Inc.

WI · On-site

$205.20 - $360.80/hr

AI Architecture & Engineering** • Define scalable architectures for Agentic AI applications and intelligent workflow automation • Build Retrieval-Augmented Generation (RAG) solutions, knowledge ...

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Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

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 Retrieval Augmented Generation jobs in Wisconsin?

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

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Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior AI Engineer / AI Solutions Architect

MLG Capital

Brookfield, WI • On-site

$51.75 - $66.75/hr

Full-time

Posted 3 days ago

New

Job description

Job Type
Full-time
Description
Join MLG Capital and Help Shape the Next Generation of AI in Private Real Estate Investing
MLG Capital is seeking a highly technical and collaborative AI professional to help build and scale the firm's next-generation AI capabilities. This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development.
We are not looking for someone who simply deploys models or builds isolated copilots.
We are looking for someone who can partner with business leaders, engineers, analysts, and operations teams to design, build, deploy, and operate AI solutions that create measurable business value across the organization.
The ideal candidate combines hands-on engineering skills with architectural thinking and thrives in a fast-moving environment where experimentation, discipline, security, and continuous learning matter equally.
Position Summary
As MLG Capital continues to expand its Enterprise Data, Analytics, and AI capabilities, this role will help define and build the foundation for AI-enabled workflows, intelligent applications, decision-support systems, and enterprise AI platforms.
You will work across business functions including Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, productionize AI systems, and establish long-term standards for responsible AI adoption.
This role requires a builder's mindset, a strong software engineering foundation, and a passion for emerging AI technologies.
What You'll Do
AI Product Development
  • Design and develop AI-powered applications, agents, copilots, and decision-support systems
  • Build retrieval-augmented generation (RAG) solutions leveraging enterprise data sources
  • Develop and deploy agentic workflows using modern orchestration patterns
  • Build reusable AI services that can be leveraged across the organization
  • Evaluate emerging AI technologies and determine practical business applications

Software Engineering & Architecture
  • Design, build, and maintain scalable cloud-native applications
  • Develop APIs, integrations, backend services, and automation workflows
  • Establish software engineering standards for AI-enabled products
  • Create reusable components, development frameworks, and deployment patterns
  • Contribute production-ready code across frontend, backend, and cloud environments

Machine Learning & AI Engineering
  • Evaluate and implement machine learning and AI solutions across a variety of business use cases
  • Assess model performance, accuracy, drift, reliability, and operational effectiveness
  • Develop evaluation frameworks and testing methodologies for AI systems
  • Design architectures that balance model quality, latency, security, and cost
  • Stay current with advancements in LLMs, agents, reasoning models, MCP, machine learning, and enterprise AI platforms

Enterprise AI Platform Development
  • Help establish MLG's long-term AI platform strategy
  • Create AI capabilities that compound over time and avoid siloed point solutions
  • Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Fabric, OneLake, Power Platform, Azure, and other enterprise systems
  • Build governed and scalable AI infrastructure supporting multiple business functions
  • Partner with business teams to identify high-value AI opportunities

Security, Governance & Responsible AI
  • Design AI solutions that operate within a regulated and investor-focused environment
  • Implement governance, security, monitoring, auditability, and compliance controls
  • Ensure enterprise AI solutions align with organizational data policies and security requirements
  • Establish best practices for responsible AI adoption and operational excellence

Requirements
What We're Looking For
Required Experience
  • 5+ years of software engineering, cloud engineering, machine learning, AI engineering, or related experience
  • Experience building and deploying production applications
  • Experience working directly with business stakeholders to solve real-world problems
  • Strong understanding of modern software engineering practices including CI/CD, testing, version control, and deployment automation
  • Experience designing scalable cloud-based architectures

AI & Data Experience
Experience with many of the following:
  • Azure OpenAI
  • Azure AI Foundry
  • Microsoft Copilot
  • Copilot Studio
  • Azure AI Search
  • RAG architectures
  • Agentic workflows
  • Machine Learning
  • Prompt Engineering
  • Model evaluation and testing
  • Azure Machine Learning
  • MCP (Model Context Protocol)
  • Semantic Kernel
  • LangGraph, AutoGen, CrewAI, or similar frameworks

Technical Skills
Preferred experience in several of the following:
  • Python
  • C#
  • TypeScript / JavaScript
  • .NET
  • React
  • Node.js
  • REST APIs
  • SQL
  • Data engineering and cloud platforms

Microsoft Ecosystem Experience
Preferred experience with:
  • Microsoft 365
  • SharePoint Online
  • Teams
  • Fabric / OneLake
  • Purview
  • Entra ID
  • Power Platform
  • Power Automate

Success in This Role
A successful candidate will:
  • Build AI solutions that generate measurable business value
  • Help establish MLG's AI engineering standards and best practices
  • Accelerate responsible AI adoption across the organization
  • Develop reusable AI capabilities rather than isolated tools
  • Balance innovation with governance and security
  • Continuously evaluate emerging technologies and translate them into practical business outcomes

Why Join MLG Capital?
MLG Capital is entering a pivotal phase in its AI journey.
You will join a team that is actively investing in enterprise data, analytics, AI, and automation capabilities across the business. This role offers the opportunity to influence platform strategy, shape technical direction, and develop innovative solutions within a growing private real estate investment firm.
If you enjoy solving difficult business problems, building modern software, exploring emerging AI technologies, and helping organizations transform through intelligent systems, we'd love to talk with you.
Additional Notes:
Physical Requirements: Ability to operate office machinery; including but not limited to: telephone, computer, copy machine, fax machine, printer, and mobile phone. Ability to sit for extended periods (up to 4 hours) and use a computer for up to 8 hours per day. Ability to lift up to 10 pounds on an occasional basis.
Working Conditions: Open office workstation environment, quiet to moderate noise levels.
SEC Compliance: As MLG has a subsidiary Registered Investment Adviser, many employees are subject to SEC-mandated compliance requirements. As part of these requirements, employees must disclose personal brokerage accounts and financial holdings, for themselves and any household members whose investment activities they influence.
This information is collected solely for regulatory compliance and conflict of interest monitoring. All disclosures are handled with strict confidentiality and are accessible only to the Chief Compliance Officer and designated compliance personnel when a business or SEC related need arises
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.
In compliance with the Americans with Disabilities Act, a "reasonable accommodation" will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship.
This document covers the most significant duties performed but does not exclude other occasional work assignments not mentioned.

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