Kaspar Companies: AI Engineer

Job Summary

Kaspar Companies is seeking a full‑time AI Engineer to lead and develop AI‑driven initiatives. Based in Shiner, TX, the role is responsible for training AI models, building, deploying, and implementing AI solutions, and enhancing manufacturing processes through innovative technologies. The position requires a tech‑savvy individual with AI workflow experience, strong problem‑solving capabilities, and a collaborative mindset.

Responsibilities

• Design, build, and deploy AI‑powered tools that solve specific operational problems across Kaspar subsidiaries, from scoping through rollout and support.
• Integrate AI systems with company data sources and platforms, including Syteline ERP, Microsoft 365, and internal applications, so tools work against live business data rather than static inputs.
• Automate manual, repetitive workflows such as reporting, data consolidation, monitoring, and vendor or customer follow‑up.
• Develop prompts, agent workflows, and system instructions, then test and refine them against real scenarios until outputs are accurate, consistent, and reliable enough for production.
• Translate between operational needs and technical capability, and set honest expectations about what AI can and cannot do for a given process.
• Write statements of work and project plans, then deliver against them.
• Create documentation, job aids, and reference material that enable teams to operate and troubleshoot solutions without depending on the AI team for every question.
• Track usage and adoption, follow up with teams that have stalled, and capture wins so they spread across subsidiaries.
• Monitor deployed solutions for accuracy, uptime, cost, and business impact; diagnose failures and improve them.
• Apply data security, access, and acceptable‑use standards to every AI tool touching company or customer information.
• Evaluate new models, platforms, and capabilities as they emerge, and recommend where they fit.
• All other duties as assigned by management.

Skills and Competencies

Required

• Strong analytical and problem‑solving ability, with a bias toward shipping something usable and improving it rather than waiting for a perfect solution.
• Hands‑on comfort with data: spreadsheets, queries, APIs, and structured data from business systems.
• Clear written and verbal communication, including the ability to explain technical work to operators, plant leadership, and executives in language each group uses.
• Ability to manage multiple projects across subsidiaries with limited direction.
• Genuine curiosity about how work gets done on the floor and in the office, and willingness to go see it firsthand.

Preferred

• Experience with LLM platforms, prompt engineering, agent frameworks, or MCP‑based integrations.
• Scripting or development experience (Python, JavaScript, SQL, Power Platform, or similar).
• Familiarity with ERP systems, ideally Syteline.
• Background in lean or continuous improvement, or experience working alongside a CI function.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related disciplines.
• IT experience in business process transformation preferred.
• Intermediate knowledge of manufacturing operations.
• Ability to manage multiple initiatives in a dynamic environment.

Work Environment

Typical office setting with occasional facility visits. May require on‑call support during emergencies or updates.

Benefits

• Health Insurance
• Vision Insurance
• Dental Insurance
• 401(k) plan
• Paid Time Off
• Profit Sharing
• Counseling services