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Intern Ai Agent Developer Jobs in Madison, WI (NOW HIRING)

AgSource

AI Engineer

Watertown, WI · On-site +1

... agent debugging. * Evaluate emerging technologies such as agentic AI, MCP and orchestration ... Partner with product, engineering and dairy science teams to turn ambiguous customer problems into ...

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

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.

Zendesk

Senior Platform Architect

Madison, WI · On-site

$200K - $300K/yr

Practical experience developing, selling, and building around Artificial Intelligence, including conversational BOTs (e.g., Amazon Lex) and cutting-edge LLM/AI agent ecosystems (prompt engineering ...

Zendesk

Senior Platform Architect

Madison, WI

$200K - $300K/yr

Practical experience developing, selling, and building around Artificial Intelligence, including conversational BOTs (e.g., Amazon Lex) and cutting-edge LLM/AI agent ecosystems (prompt engineering ...

Zendesk

Senior AI Success Strategist

Madison, WI · On-site

For complex agent implementations, coordinate troubleshooting and technical escalations with Professional Services, Product and Engineering to resolve blockers quickly. * Long-term AI Vision ...

SwiftCruit

Senior Software Engineer

Oregon, WI · On-site

$125.24 - $187.86/hr

Experience establishing agent-friendly engineering practices: writing repo instructions for AI tools, tasking AI-driven work, CI guardrails for AI-generated code, feature flags, canary deployments ...

Sweatpals

Product Manager Internship

Whitewater, WI · On-site

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

Sweatpals

Product Manager Internship

Madison, WI · On-site

We're an AI-forward company. If you're excited about building real products for real communities at ... The Role We're bringing on a PM intern to support the Host Squad product team during a high ...

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

We are building the future with modern software engineering, agent-assisted systems, and mobile ... and AI-powered innovation. What You Will Do: · Design, build, and maintain scalable MLOps ...

Bespoke Labs

Machine Learning Engineer

Whitewater, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Machine Learning Engineer

Madison, WI · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

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All JobsIntern Ai Agent Developer JobsIntern Ai Agent Developer Jobs in Madison, WI

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 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 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 most commonly searched types of Ai Agent Developer jobs in Madison, WI?

The most popular types of Ai Agent Developer jobs in Madison, WI are:

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For Intern Ai Agent Developer jobs in Madison, WI, the most frequently searched job titles are:

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Cities near Madison, WI with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you
Infographic showing various Intern Ai Agent Developer job openings in Madison, WI as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 22 days ago

Job description


Turn decades of data into intelligence that helps feed the world.
VAS has decades of longitudinal data from some of the most productive dairy operations in the world. Our next challenge is turning that data into actionable intelligence that helps producers make better decisions.
We're looking for an AI Engineer to help build the next generation of intelligent capabilities within our products. You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions.
This isn't about AI for AI's sake. Sometimes the right answer is machine learning. Sometimes it's optimization, classical statistics or generative AI. We want someone with the technical depth and judgment to know the difference.
What You'll Do
  • Build and deploy production-grade AI/ML solutions that turn complex farm data into actionable intelligence.
  • Explore large, distributed and legacy datasets to uncover patterns and opportunities for new product capabilities.
  • Engineer features, select modeling approaches and design experiments to evaluate outcomes.
  • Move models from exploration into scalable, real-time production applications.
  • Integrate, deploy, fine-tune and monitor models using cloud infrastructure, including AWS and Databricks.
  • Build testing and observability for AI systems, including behavioral testing, trace analysis and agent debugging.
  • Evaluate emerging technologies such as agentic AI, MCP and orchestration frameworks.
  • Partner with product, engineering and dairy science teams to turn ambiguous customer problems into working solutions.
  • Help advance the tools, standards and practices that will support AI development at VAS.
  • Collaborate on user-facing AI experiences using React and TypeScript when needed.

What We're Looking For
We're looking for someone who has gone deep at the intersection of data + machine learning and has a track record of putting models into production.
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. The path matters less than the depth of what you've built.
Ideally, you bring:
  • Significant experience building production software and AI/ML solutions, with demonstrated depth in data, machine learning and model deployment.
  • Experience working with complex, distributed or legacy data, including inconsistent schemas and incomplete records.
  • Strong experience with feature engineering, model selection, experimentation and evaluation.
  • The ability to work across approaches, from classical statistics and machine learning to modern generative AI, choosing the right solution for the problem.
  • Experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Exposure to agentic architectures, MCP or modern AI orchestration frameworks.
  • Strong software engineering fundamentals and a pragmatic approach to solving problems.
  • The ability to translate ambiguous requirements into working systems and communicate technical tradeoffs across engineering, product and domain teams.
  • A bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field is preferred.

Why VAS?
VAS is the operating system of the modern dairy, with a leading U.S. market position and growing global reach. Our highly customizable systems have created an incredibly rich and complex data environment.
You'll have an opportunity to help shape what comes next. You'll help turn our rich data into intelligent, customer-facing solutions that create real-world value.
You can build AI anywhere. Here, you can use it to help feed the world.
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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