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Agentic Developers Jobs in Wisconsin (NOW HIRING)

Senior Agentic Engineer

Madison, WI · On-site

$105K - $144K/yr

They are seeking an Agentic Engineer to design, develop, and deploy sophisticated AI agent systems that enhance their insurance platform capabilities. Responsibilities : • Agentic System ...

They are seeking a Principal Agentic Engineer to design and implement sophisticated AI agent systems that enhance insurance workflows and customer service. Responsibilities : • Lead the design and ...

$122K - $146K/yr

Senior Agentic AI Engineer / Developer Location: Montreal, Canada (Onsite) Duration: Long-Term Contract / Full-Time Experience: 8+ Years Job Summary We are seeking a highly skilled Senior Agentic AI ...

WI · On-site

$114K - $158K/yr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site uses cookies and related technologies, as described in our privacy policy, for purposes that may ...

WI · On-site

$205K - $360K/yr

Senior Principal, AI Software Engineer - Agentic & Industry Solutions Genesys empowers organizations worldwide to create better customer experiences through AI-powered experience orchestration. As a ...

New

$109K - $144K/yr

Lead AI Engineer, Agentic Data Lineage Location: Montreal, Canada Work Type: Hybrid min 3 days work from office per week Interview rounds: L1 and L2 JD: Lead AI Engineer, Agentic Data Lineage What ...

WI · On-site

$205K - $360K/yr

This role requires extensive experience in AI, software engineering, and architecture. The candidate will design transformative Agentic AI solutions and lead initiatives that enhance customer ...

You'll guide the technical direction of our agent framework while mentoring senior engineers and driving engineering excellence across the team. Who You Are * GenAI Expert : You understand how to use ...

Key Responsibilities Agentic AI & Generative Systems * Architect and lead the development of ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

Key Responsibilities Agentic AI & Generative Systems * Architect and lead the development of ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

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Agentic Developers information

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

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

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Wisconsin? For Agentic Developers jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Wisconsin look for? The top searched job categories for Agentic Developers jobs in Wisconsin are:
What cities in Wisconsin are hiring for Agentic Developers jobs? Cities in Wisconsin with the most Agentic Developers job openings:
Infographic showing various Agentic Developers job openings in Wisconsin as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 5% Part Time, and 8% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Senior Agentic Engineer

MGT Insurance

Madison, WI • On-site

$105K - $144K/yr

Full-time

Posted 22 days ago


Job description

Job Summary:
MGT Insurance is the first AI-driven, neo-insurer focused on evolving commercial P&C insurance for brokers and small business owners. They are seeking an Agentic Engineer to design, develop, and deploy sophisticated AI agent systems that enhance their insurance platform capabilities.
Responsibilities:
• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.
Qualifications:
Required:
• Over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures.
• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.
• Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.
Preferred:
• Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.
Company:
MGT is the first AI neo-insurer: a modern, full-stack carrier built by experienced industry professionals. Founded in 2023, the company is headquartered in Sherman Oaks, USA, with a team of 51-200 employees. The company is currently Growth Stage.