Job Description

Job DetailsJob Location: South Towne - Sandy, UT 84070Position Type: Full TimeSalary Range: $60,000.00 Salary/yearMark Miller Subaru is seeking an AI Agent Engineer to design, build, and test intelligent agents that solve real business problems across our dealership operations. You’ll develop and optimize agent systems that enhance customer experience, streamline internal workflows, and drive measurable outcomes in sales, service, and finance.
Responsibilities
Design and develop autonomous agents for dealership workflows including lead scoring, customer routing, service operations, and finance processes. Build and maintain agent chains that integrate with existing systems like DriveCentric CRM, service management platforms, and financial reporting tools. Test agents rigorously against business metrics and customer outcomes to ensure reliability and accuracy. Iterate on agent logic based on performance data and frontline feedback. Document agent architectures, decision logic, and integration points. Collaborate with the GM and executive team to identify high-value automation opportunities and prioritize development.
Why Mark Miller Subaru
You won’t be buried in a corporate tech org. You’ll work directly with dealership leadership to build systems that change how a real business operates day to day. This is a ground-floor opportunity to shape the AI strategy of a forward-thinking franchise operation.
To Apply
Send your resume and a brief note on an agent you’ve built and what problem it solved.
QualificationsWhat We're Looking For
Hands-on experience building AI agents using frameworks like LangChain, CrewAI, AutoGen, or similar orchestration tools. Familiarity with APIs, webhooks, task queues, and cron-based automation. Comfort working with CRM platforms and operational data. Ability to translate business problems into agent architectures without over-engineering. Strong testing discipline with a bias toward measurable results over demos. Clear communicator who can explain technical concepts to non-technical stakeholders.
Nice to Have:
Experience in retail, automotive, or customer-facing industries. Familiarity with OpenAI, Anthropic, or open-source LLM APIs. Background in workflow automation or process improvement. Experience with VPS deployment, containerization, or serverless infrastructure.