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Ai Rag Jobs in Wisconsin (NOW HIRING)

Senior AI/ML Engineer

Madison, WI · Remote

$90 - $100/hr

The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate ...

$122K - $146K/yr

Senior Agentic AI Engineer / Developer Location: Montreal, Canada (Onsite) Duration: Long-Term ... Knowledge of RAG (Retrieval-Augmented Generation) architectures * Prompt Engineering and Agent ...

Design, develop, and deploy GenAI and LLM-based solutions, including RAG pipelines, prompt ... Own AI solutions end-to-end, from design and development through production deployment and ...

Design, develop, and deploy GenAI and LLMbased solutions, including RAG pipelines, prompt ... Own AI solutions endtoend, from design and development through production deployment and ...

Senior AI Engineer

Brookfield, WI · On-site

$97K - $134K/yr

Instead, you will build and operationalize a secure, governed, Azure-hosted AI platform layer-supporting LLM/RAG and agentic patterns-integrated with enterprise identity, data, and observability ...

Senior AI Engineer

Brookfield, WI · Remote

$97K - $134K/yr

Instead, you will build and operationalize a secure, governed, Azure-hosted AI platform layer-supporting LLM/RAG and agentic patterns-integrated with enterprise identity, data, and observability ...

RAG-Applikationen) in Microsoft Azure Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen Einsatz und Integration von Model Context Protocols (MCPs) Aufnahme ...

Sr. AI/ML Engineer

Milwaukee, WI · On-site

$100K - $140K/yr

Design and build LLM and agent-based applications (RAG, orchestration, automation) * Develop backend services and APIs for AI solutions * Integrate solutions with enterprise systems (APIs, databases ...

... RAG), multi-agent orchestration, and autonomous workflow automation. · Design and implement ... AI systems that manage long-running claims processes across multiple touchpoints. · Build multi ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

Operate and continuously improve a retrieval-augmented generation (RAG) pipeline for proposal ... Identify and implement AI agents and automation tools that reduce manual effort at each stage of ...

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Showing results 1-20

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Wisconsin look for? The top searched job categories for Ai Rag jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Rag jobs? Cities in Wisconsin with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Wisconsin as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 83% In-person, and 17% Hybrid job distribution.
Senior AI/ML Engineer

Senior AI/ML Engineer

Eliassen Group

Madison, WI • Remote

$90 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

Senior AI/ML Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Government

Workplace Type: Remote

Reference ID: JN -052026-107129

Date Posted: 05/26/2026

Shortcut: http://careers.eliassen.com/YsQ2uG

  • Description

  • Recommended Jobs

Description:

Remote

Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent systems. The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross-functional teams will ensure solutions align with business goals. This position requires availability for meetings during Eastern Time business hours.

Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $90.00 to $100.00/hr. w2

JN -052026-107129

Responsibilities:

  • Engineer AI solutions using LLM providers and implement complex multi-agent workflows.

  • Design and develop predictive models using regression, classification, clustering, and neural networks.

  • Build RAG pipelines, integrate vector databases, and apply prompt engineering with LangChain or LangGraph.

  • Develop end-to-end AI/ML/NLP plans compliant with cybersecurity policies.

  • Apply software engineering best practices for maintainable, efficient, reliable, and secure code.

  • Identify and resolve performance bottlenecks and security vulnerabilities.

  • Implement CI/CD using Terraform, GitLab, and GitLab Runner with automated testing and security scans.

  • Support production deployments, smoke testing, monitoring, root cause analysis, and issue resolution.

  • Collaborate in Agile ceremonies, estimate work, and participate in reviews, demos, and retrospectives.

Experience Requirements:

  • 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering.

  • Hands-on experience with LLM orchestration, integration, and vLLM-based inference for document understanding.

  • Experience with multi-agent AI systems, RAG pipelines, vector databases, and prompt engineering.

  • Strong Python skills with TensorFlow and PyTorch.

  • Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred.

  • Experience with image transformer models for document image understanding, including Microsoft DiT.

  • Experience with self-supervised learning and leveraging pre-trained transformer backbones for document AI tasks.

  • Integration of transformers into OCR pipelines and collaboration with OCR technologies.

  • OpenCV-based image processing for document analysis.

  • CI/CD with Terraform, GitLab, and GitLab Runner.

  • Nice to have: Java, Spring Boot, Spring/JPA, Hibernate/MyBatis, JBoss/Fuse Camel/AMQ, SQL, Oracle, REST services.

  • Familiarity with AI coding tools such as Claude and Codex.

  • Strong problem solving and communication skills with ability to work independently.

  • AWS certification required such as Solutions Architect Associate, Developer Associate, Machine Learning Engineer Associate, SysOps Admin Associate, or Cloud Practitioner.

  • Public Trust eligibility and awareness of 3 to 6 week clearance timeline, including fingerprinting. Must have been a U.S. permanent resident for at least the last 2 years.

Education Requirements:

  • BA/BS in Computer Science, Machine Learning, or related field with 10 years of experience, or MA/MS or higher with 8 years of experience.

  • Additional experience does not substitute for the education requirement.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989