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Ai Agent Developer Jobs in Wisconsin (NOW HIRING)

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS Minimum Qualifications * 2+ years in software engineering or applied AI * Experience working with ...

Hispanic Alliance for Career Enhancement

WI · On-site

$106.61 - $260.59/hr

Architect agentic AI systems using Bedrock Agents, Vertex AI Agent Builder, or approved frameworks ... Partner with product, engineering, data, security, and compliance teams to shape roadmaps and ...

Directsupply

AI Engineer

Milwaukee, WI

Strong applied AI and software engineering fundamentals * Builderswho canspantech,product,and ... Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI) * Docker, Terraform, and AWS ...

Koitecc Solutions

Manager, AI Engineering

Milwaukee, WI · On-site

$140 - $190/hr

Define solution approaches for GenAI applications, LLMs, RAG pipelines, prompt orchestration, agent ... Experience with DevOps, CI/CD, automated testing, monitoring, observability, versioning, release ...

SupportFinity™

WI · On-site

$130 - $190/hr

LLM & Agent Integration: Integrate foundation models, fine-tuned models, and multi-agent systems ... Partner with product, architecture, and engineering teams to embed AI capabilities across our ...

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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

Direct Supply, Inc.

Milwaukee, WI • On-site

Full-time

Re-posted 13 hours ago

Job description

About the Role
Direct Supply is building AI systems that change how care is delivered to millions of seniors and support the people who care for them. We're hiring engineers to design, ship, and operate those systems in production.
This role spans the full product lifecycle: discovery, experimentation, application delivery, and deployment. You'll work directly with customers and product teams, own technical calls, and see your product used at scale.
We expect technical rigor, architecture discipline, strong product judgment, and a track record of shipping. In return, you get autonomy and real customer impact.
What You'll Do
  • Design, build, and operate systems in customer-facing production environments

  • Translate ambiguous business and customer problems into prototypes & technical specs

  • Track AI capabilities and apply them where they create clear leverage

  • Own the full application lifecycle: product discovery, experimentation, evaluation, deployment, and monitoring

  • Own system design, tradeoffs, and long-term scaling and maintainability

  • Build codebases that are legible to agents and other developers; drive the organization forward on tooling.

  • Partner with product managers to enhance their product vision, including with AI-native solutions

What We're Looking For
  • Strong applied AI and software engineering fundamentals

  • Builders who can span tech, product, and design thinking with high autonomy

  • Bias for shipping, iterating, and following customer feedback over polish

  • High ownership & agency - measured by outcomes, not deliverables

  • Curiosity to improve systems, products, and your own craft

What We Work In
You don't need every one of these, but this is the stack you'll be productive in:
  • Python, C#, TypeScript, PostgreSQL;

  • Frontier model ecosystems & agent frameworks (e.g., Anthropic, OpenAI)

  • Docker, Terraform, and AWS

Minimum Qualifications
  • 2+ years in software engineering or applied AI

  • Experience working with AI development tools in full-stack applications

  • Experience designing AI-based solutions to real workflows

  • Working knowledge of cloud and frontier AI platforms

Nice to Have
  • Degree in Computer Science, Engineering, Data Science, or a related field

  • Experience operating AI systems in production, with attention to evaluation, cost, and performance tradeoffs

  • Background in high-ambiguity environments with proximity to customers (e.g., early-stage startups, forward-deployed engineering, internal product teams)

  • Experience in large-scale Python, C#, and TypeScript codebases

  • Experience integrating AI solutions into existing, established products.

  • Experience working with healthcare, regulated, or sensitive data

Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

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