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Ai Agent Developer Jobs in Wisconsin (NOW HIRING)

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 ...

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

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 ...

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 ...

... 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 ...

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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 ...

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

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 ...

AI Solutions Engineer

Milwaukee, WI · On-site

$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 ...

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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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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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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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 Jul 30, 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.

What is an AI Agent Developer job?

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.

Is AI agent developer a good career?

AI agent developer is a growing field involving designing and building intelligent systems that can perform tasks autonomously. It requires skills in programming, machine learning, and data analysis, with job opportunities increasing as AI technology advances. The role offers competitive salaries and the potential for innovation in various industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, AI research director, or chief AI officer, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership responsibilities, strategic planning, and expertise in AI tools and frameworks, with compensation reflecting experience and impact. Such salaries are rare and generally found in large tech companies or specialized AI firms for top-tier professionals.

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.

What is the salary of an AI agent developer?

The salary of an AI agent developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning and natural language processing may offer higher compensation.

Are AI agents replacing developers?

AI agents developers create systems that automate tasks and assist in software development, but they are not replacing developers entirely. Instead, AI tools enhance productivity and handle repetitive coding, allowing developers to focus on complex problem-solving and design. Human oversight remains essential for ensuring quality, creativity, and ethical considerations in software projects.
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:
Infographic showing various Ai Agent Developer job openings in Wisconsin as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $48,379 per year, or $23.3 per hour.

Staff Engineer, AI

Sema4.ai

Madison, WI • On-site

Full-time

Re-posted 8 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