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Agentic Ai Engineer Jobs in Wisconsin (NOW HIRING)

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Experience with RAG pipelines, vector databases, and agentic frameworks. * Familiarity with cloud ...

SC Johnson & Son

Sr. Associate, AI Engineer

Racine, WI · On-site

This role is ideal for someone who enjoys technical hands-on work with AI models, coding assistants, agentic workflows, and new developer tools. You'll work alongside experienced AI engineers to ...

Direct Supply

Staff Software Engineer

Milwaukee, WI · On-site

Responsibilities : • Define and execute the AI engineering strategy, embedding AI-first principles across teams and projects. • Architect and scale AI-enhanced systems, integrating LLMs, agentic ...

Litecycle

WI · On-site

$93.06 - $139.58/hr

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

Directsupply

Staff Software Engineer

Milwaukee, WI · On-site

You will influence how software is built, ensuring that AI augmentation, agentic workflows, and autonomous systems are embedded into our engineering DNA. This role involves architecting and scaling ...

TiTANS Consulting

WI · On-site

$120 - $180/hr

Identificeer toekomstige kansen voor agentic automatisering * Certificeringen zoals Figma, service ... Sterk begrip van LLM fundamentals, prompt engineering, AI evaluatie frameworks, Retrieval Augmented ...

Posted today

Accenture

Applied AI Engineer, Founding Team

Milwaukee, WI · On-site

$73K - $218K/yr

You ship agentic systems, you know the Anthropic ecosystem, and when a new research paper or open ... Minimum of 5 years experience in software engineering, AI/ML, or enterprise technology * Minimum of ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Tutor

Belgium, WI · On-site +1

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI

$130K - $175K/yr

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

DataCamp

Principal AI Engineer - AI Creator

Belgium, WI · On-site

$130K - $175K/yr

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows ... Strong software engineering fundamentals, architectural thinking, and fluency in Python ...

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Showing results 21-40

All JobsAgentic Ai Engineer JobsAgentic Ai Engineer Jobs in Wisconsin

Agentic Ai Engineer information

See Wisconsin salary details

$39.4K

$102.7K

$138.8K

How much do agentic ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for agentic ai engineer in Wisconsin is $102,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $117,600.00 per year, depending on experience, location, and employer.

What does an agentic AI engineer do?

An agentic AI engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and AI frameworks to create systems that can adapt and operate in dynamic environments, often requiring knowledge of programming, data analysis, and AI ethics.
What are popular job titles related to Agentic Ai Engineer jobs in Wisconsin? For Agentic Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Agentic Ai Engineer jobs in Wisconsin look for? The top searched job categories for Agentic Ai Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Agentic Ai Engineer jobs? Cities in Wisconsin with the most Agentic Ai Engineer job openings:
Agentic Ai Engineer jobs near you
Infographic showing various Agentic Ai Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $102,704 per year, or $49.4 per hour.

AI Engineer

Urus Group LP

Watertown, WI • On-site, Remote

Full-time

Posted 13 days ago

Job description


VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
This role will be focused on embedding LLMs, agent-based systems, and automation into core development workflows-boosting productivity, reducing manual toil, and accelerating delivery, essentially transforming how our engineers build, test, and ship software.
Responsibilities
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value.
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth.
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices.
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI strategy.
  • Continuously assess emerging AI tools and make data-driven recommendations.
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact.
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning.
  • Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows.
  • LLM Agents & Prompt Engineering
    • Architect and implement LLM agents.
    • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
    • Integrate vector databases and knowledge graphs to support retrieval-augmented generation (RAG).
    • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Model Context Protocol (MCP) & Backend
    • Develop and maintain scalable APIs, supporting synchronous and asynchronous agent execution.
    • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
    • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
  • Evaluation, Testing & Observability
    • Build unit and behavioral tests for agents, tools, and workflows.
    • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
    • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
  • Model Fine-Tuning & MLOps
    • Integrate, deploy, fine tune and monitor models in production using cloud providers.
    • Set up agent logging, observability dashboards, and recovery workflows.
  • Front-end & User Experience
    • Collaborate with front-end developers or build user-facing components using React, TypeScript.
    • Ensure seamless user and agent interaction via UI and API bridges.

Education & Experience Requirements
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or related field preferred.
  • 10+ years of experience in software development and design.
  • Proven experience in AI/ML solution design and hands experience with AI-powered development tools. 3+ years of experience preferred.
  • Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ years of experience preferred).
  • Hands-on experience with deep learning frameworks.
  • Experience with RAG pipelines, vector databases, and agentic frameworks.
  • Familiarity with cloud-based AI services.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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