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Intern Ai Agent Developer Jobs in Wisconsin (NOW HIRING)

Sema4.ai

Staff Engineer, AI

Madison, WI · On-site

The Opportunity At Sema4.ai , we're building an Enterprise AI Agent platform that fundamentally ... As a Staff Engineer on the AI team , you'll design, build, and extend Sema4.ai 's cognitive ...

EnerSys

Senior Finance AI & Automation Developer

Adell, WI · On-site +1

$95K - $119K/yr

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

Socket.dev

WI · On-site

$150 - $230/hr

Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That ...

Sema4.ai

Tech Lead, Agentic Engineering

Madison, WI · On-site

The Opportunity At Sema4.ai, we're building an Enterprise AI Agent platform that reinvents how ... You'll guide the technical direction of our agent framework while mentoring senior engineers and ...

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · Hybrid

Design and deploy production-grade Autonomous Agents and multi-agent orchestrations to solve multi-step business problems. * Design and engineer Agentic AI integrations that sit on top of legacy ...

New

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · Hybrid

Design and deploy production-grade Autonomous Agents and multi-agent orchestrations to solve multi-step business problems. * Design and engineer Agentic AI integrations that sit on top of legacy ...

Acara Solutions

Senior FPGA Engineer

Franksville, WI

$160K - $190K/yr

Senior FPGA Engineer Location: Franksville WI 53126 Employment Type: Direct Hire Industry ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Deloitte

Oracle Tech Cloud Manager

Milwaukee, WI · On-site

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Nrg Bluewater Wind

WI · On-site

$120 - $180/hr

The Security Engineer acts as a critical partner across Architecture, Engineering, Cloud ... AI, Agent & Automation Security * Lead security risk assessments for LLMs, copilots, MCP domain ...

Bakertilly

AI Solutions Engineer

Milwaukee, WI

$15.25 - $20.25/hr

AI Solutions Engineer Are you passionate about business and technology coming together to deliver ... Significant hands-on experience designing and developing AI/Agent-based solutions including ...

Baker Tilly

AI Solutions Engineer

Milwaukee, WI · On-site

$12.75 - $16.75/hr

AI Solutions Engineer Are you passionate about business and technology coming together to deliver ... Significant hands-on experience designing and developing AI/Agent-based solutions including ...

AgSource

AI Engineer

Watertown, WI · On-site

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

AI Engineer

Watertown, WI · On-site

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 ...

Farm Systems

AI Engineer

Watertown, WI

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 ...

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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.
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Intern Ai Agent Developer jobs near you

Staff Engineer, AI

Sema4.ai

Madison, WI • On-site

Full-time

Re-posted 18 days ago

Job description

The Opportunity
At Sema4.ai, we're building an Enterprise AI Agent platform that fundamentally changes how knowledge work gets done-by enabling people and AI agents to collaborate in durable, trustworthy ways.
As a Staff Engineer on the AI team, you'll design, build, and extend Sema4.ai's cognitive architectures-the core platform at the center of our agents. You'll blend cutting-edge AI research with production-grade rigor to deliver high-leverage capabilities to the agents our customers build daily.
This is an early, high-impact role. You'll be building foundational infrastructure in a fast-moving environment where decisions matter and tradeoffs are real. We're looking for engineers who are comfortable operating with ambiguity, but who bring rigor, taste, and strong technical judgment to everything they build.
Who You Are
GenAI Expert
You know how to make LLMs and agents do real work in production systems. You understand the sharp edges: prompt brittleness, context limits, tool failures, cost and latency constraints, provider quirks, and enterprise reliability requirements. You're fluent in current approaches used in AI systems development, and you know how to apply them thoughtfully rather than reflexively.
In-depth Technologist
You stay close to research and industry, but you don't chase every new idea. You track where the field is heading and design systems that will adapt gracefully as models and techniques evolve. You evaluate trends critically, adopt what works, and avoid unnecessary complexity. You think carefully about abstraction boundaries, failure modes, and long-term maintainability.
Builder With Standards
You care about correctness, clarity, and operational behavior. You're comfortable iterating quickly, but you understand the limits of your systems and know how to address them when the time is right. You know how to navigate between "not invented here" syndrome and assuming someone else has already solved all your problems.
What You'll Do
Build and Own Core Systems
You'll spend most of your time developing and evolving core agent framework components, orchestration logic, and LLM integration layers. These are not experiments; they are systems customers will rely on for business-critical workloads, and you'll own them end to end.
Work Close to the Product
Collaborate directly with the product and field engineering teams to understand how customers are building and applying agents. You'll help translate these product intents into robust systems, and design new capabilities to advance the art of the possible.
Solve Ambiguous, High-Leverage Problems
Take on problems where the shape of the solution isn't obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly. You'll be trusted to figure things out, from concept to production.
Contribute to Technical Culture
You'll participate actively in design reviews and code reviews, help shape technical standards, and interview technical candidates. You'll lead with influence across the engineering and product teams.
What You Bring
  • 7+ years of software engineering experience, including 2+ years building AI/ML systems in production
  • Deep experience with backend systems in Python, including performance, observability, and reliability concerns
  • Hands-on experience designing and operating LLM-based systems (agents, orchestration, retrieval, tools, etc.)
  • Strong communication skills: whether you're talking to colleagues, customers, or machines, you communicate clearly, concisely, and collaboratively
  • A high-ownership mindset: you care deeply about the systems you build, and you take responsibility for their long-term health

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