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Intern 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 ...

LRS

Software Engineer, Intern

Waukesha, WI

$23.50/hr

Codeworks, an LRS company, is seeking a Software Enginner for a contract/intern opportunity. Join a ... Please contact AI.Questions@lrs.com with any questions.

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

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

As a Dematic intern, you will participate in a team-based Innovation Challenge where you will dive ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

As a Dematic intern, you will participate in a team-based Innovation Challenge where you will dive ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

Kion Group AG

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

As a Dematic intern, you will participate in a team-based Innovation Challenge where you will dive ... Currently enrolled in a bachelor's degree program in Computer Science, Engineering, Business, or a ...

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 ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.
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:
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Intern Ai Agent Developer jobs near you

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 14 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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