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Ai Agent Developer Jobs in Wisconsin (NOW HIRING)

AgSource

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

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 ... This role will be focused on embedding LLMs, agent-based systems, and automation into core ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Build agentic workflows and task-specific AI agents-using Palantir AIP or the Microsoft Agent ... Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Build agentic workflows and task-specific AI agents-using Palantir AIP or the Microsoft Agent ... Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems ...

Rivi Consulting Group

Python AI Developer

Green Bay, WI · On-site

$49 - $67.25/hr

Must understand state management, agent loops, and reliable tool-calling. Experience with ... A "product engineer" mindset. - Comfort with ambiguity and a sense of extreme ownership ...

NELNET BUSINESS SOLUTIONS

AI / ML Engineer

Madison, WI · Remote

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Job Responsibilities 1. Agent Development : Design, build, and deploy LLM-powered agents to solve ...

New

Zywave

AgenticOps Engineer

WI · On-site +1

Description The Agentic Ops Engineer operates as a cross-team specialist responsible for the health, reliability, and continuous improvement of AI agent output across the organization. They are not ...

Zywave

AgenticOps Engineer

WI · On-site

The Agentic Ops Engineer operates as a cross-team specialist responsible for the health, reliability, and continuous improvement of AI agent output across the organization. They are not embedded in ...

Genesys

Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Genesys

Design and implement multi-agent systems leveraging LLMs, tool-use frameworks, and orchestration ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

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Showing results 21-40

All JobsAi Agent Developer JobsAi Agent Developer Jobs in Wisconsin

Ai Agent Developer information

See Wisconsin salary details

$29.3K

$48.4K

$100.4K

How much do ai agent developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ai agent developer in Wisconsin is $48,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $51,500.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
What are the most commonly searched types of Ai Agent Developer jobs in Wisconsin? The most popular types of Ai Agent Developer jobs in Wisconsin are:
What are popular job titles related to Ai Agent Developer jobs in Wisconsin? For Ai Agent Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ai Agent Developer jobs in Wisconsin look for? The top searched job categories for Ai Agent Developer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Agent Developer jobs? Cities in Wisconsin with the most Ai Agent Developer job openings:
Ai Agent Developer jobs near you
Infographic showing various Ai Agent Developer job openings in Wisconsin as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $48,379 per year, or $23.3 per hour.

AI Engineer

AgSource

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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