Find & Apply For Artificial Intelligence Engineer Jobs in Shiner, Texas

Salary Not Available

Position range in Texas $89k - $169k Per Year AI Engineer (Artificial Intelligence Engineer)

Kaspar Companies Inc.

Occupation:

Computer and Information Research Scientists

Location:

Shiner, TX - 77984

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Posted:

10/05/2026

Positions available: 1

Source:

WorkInTexas

Web Site:

WorkInTexas

Onsite /

Remote:

Work onsite all of the time

Updated:

10/08/2026

Expires:

12/07/2026

Job #: 17077500

Job Requirements and Properties

Help for Job Requirements and Properties. Work Onsite

Full Time Education

Bachelor's Degree Experience

1 Month(s) DL

Required Schedule

Full Time Job Type

Regular Duration

Permanent Employment Public Transit

Available Benefits Help for . Do you enjoy leading problem-solving efforts to ensure systems run smoothly and securely? Are you passionate about aligning technology with business strategy? Does working for a family-centric company with deep roots appeal to you? Do the values of stewardship, versatility, and family resonate strongly with you? Do you find the improvement of peoples lives through stewardship of God-given resources inspiring? Then, Kaspar Companies is right for you! AI Engineer Job Summary Kaspar Companies is seeking a full-time AI Engineer to lead and develop our AI-driven initiatives. Based in Shiner, TX, this role is responsible for training AI models, building, deploying, and implementing AI solutions, and enhancing manufacturing processes through innovative technologies. This position requires a tech-savvy individual with a blend of AI workflow experience, problem-solving capabilities, and a collaborative mindset. AI Engineer 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 to trust in 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 let teams 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. AI Engineer 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. AI Engineer 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 AI Engineer Work Environment Typical office setting with occasional facility visits. May require on-call support during emergencies or updates. AI Engineer Benefits Health Insurance Vision Insurance Dental Insurance 401k Paid Time Off Profit Sharing Counseling