Senior AI Solutions Engineer

• 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 (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
• Participate in review / 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

BUSINESS ANALYSIS

• 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

HARDWARE AND PLATFORM SUPPORT

• Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC's, operating systems, and office automation equipment - both on premise and in-cloud PaaS & IaaS
• Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems
• Recommend efficient and cost-effective technological equipment, systems, platforms and services
• Identify problematic areas and implement strategic solutions in a timely manner
• Maintain confidentiality of proprietary information
• Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools

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 comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework. 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 expected; experience with Epicor, Jitterbit, and Salesforce 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 being dependent on any 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.
• Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form.
• Effectively present information to employees, management, and customers.
• Create business-level written correspondence and verbally present information to large or small groups, both internally and externally.
• Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment.

Working Conditions/Physical Demands:

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