AI Engineer

Responsibilities

• Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology.
• Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task.
• Maintain and extend integration platform operations (for example Jitterbit) and CRM customizations (such as Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
• Participate in review and recommendation of externally purchased IT solutions and services.
• Manage hardware and software vendor relationships.
• Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output.
• Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks.
• Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures.
• Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis.
• Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards.
• Implement and manage long-term, system-wide IT initiatives that align with the company’s business strategy and objectives.
• Recommend and participate in the deployment, monitoring, maintenance, development, upgrade, and support of IT hardware and software including telecommunications, servers, PCs, operating systems, and office automation equipment – both on premise and in-cloud PaaS & IaaS.
• Benchmark, analyze, report on, and make recommendations for improvement and growth of IT infrastructure and IT systems.
• Identify problematic areas and implement strategic solutions in a timely manner.
• Maintain confidentiality of proprietary information.
• Stay current with evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools.

Requirements

• Bachelor’s degree in computer science or related field.
• Minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment.
• Proven AI-first development workflow using agentic LLM coding tools as the primary development method.
• Language polyglot comfortable architecting and delivering solutions across multiple technology stacks.
• Experience with SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management.
• Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging.
• Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages; experience with Epicor, Jitterbit, and Salesforce preferred.
• Strong preference for building custom LLM agent harnesses and coordinating multi-agent swarms under a manager/supervisor pattern.

Technologies

• Claude Code
• GitHub Copilot Workspace
• Cursor
• Windsurf
• Jitterbit
• Salesforce APEX
• Epicor
• Salesforce
• .NET/C#
• JavaScript
• TypeScript
• Python
• SQL
• RESTful APIs
• GIT

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Retirement plan
• Tuition reimbursement
• Vision insurance

Education and Experience

Position requires a Bachelor’s degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment. Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method. Must be a language polyglot capable across multiple technology stacks. Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management. Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential. Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages is expected; experience with Epicor, Jitterbit, and Salesforce is preferred. Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities

• Proven expertise with agentic LLM coding tools and AI-assisted development workflows.
• Ability to work fluently across multiple programming languages and technology stacks without dependence on a single ecosystem.
• Strong prompt engineering skills for code generation, debugging, and architectural planning.
• Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns.
• Ability to read, analyze, and interpret various information sources, and effectively present information to employees, management, and customers.
• Proficiency with Microsoft Office and the ability to operate standard office equipment.

Working Conditions

• Office environment, with occasional lifting and bending.

Experience

• agentic LLM Coding: 3 years (Preferred)

Ability to Commute

Oconomowoc, WI 53066 (Required)

Application Questions

• Will you now, or in the future, require sponsorship for employment visa status (e.g., H-1B visa status)?
• What type of agentic LLM coding tools have you used?