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Internship 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 ...

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 ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Baker Tilly US

AI Solutions Engineer

Milwaukee, WI · On-site

They are seeking an AI Solutions Engineer to build intelligent solutions that streamline business ... Agent Core and integrating with LLM provider APIs • Optimizing AI-based solutions for token ...

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 ...

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 ...

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 ...

Urus

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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Internship Ai Agent Developer information

What types of projects do Internship AI Agent Developers typically work on, and how do these projects support learning and skill development?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What does an Internship AI Agent Developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

What are the key skills and qualifications needed to thrive as an Internship AI Agent Developer, and why are they important?

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.
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Internship Ai Agent Developer jobs near you

Staff Engineer, AI

Sema4.ai

Madison, WI • On-site

Full-time

Re-posted 12 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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