Engineer, Product Automation

U.S. Xpress Enterprises, Inc.•Chattanooga, TN

1d•$71,900 - $89,900•Hybrid

About The Position

The Product Automation Engineer designs, builds, tests, deploys, and continuously improves AI-enabled automations, agent workflows, decision logic, and tool-connected business processes. This role partners with business owners, Product, IT, and operational Subject Matter Experts (SMEs) to translate business needs into reliable, scalable, and maintainable automation solutions. This is a technical builder role focused on prompt engineering, workflow design, integrations, technical QA, and production support for AI agents and automated business processes. Success depends on strong systems thinking, technical problem solving, product judgment, and the ability to connect business process requirements with practical automation design.

Requirements

High school diploma or GED equivalent required
1-3 years of experience in automation, systems analysis, technical business analysis, product operations, implementation, QA automation, software support, integration support, or a related technical role preferred
Experience designing, configuring, testing, or supporting workflows, business applications, APIs, low-code/no-code automations, RPA solutions, or AI-enabled tools preferred
Experience with prompt engineering, conversational AI, agent platforms, API testing, JSON payloads, scripting, or workflow automation is highly preferred
Strong systems thinking with the ability to understand how prompts, tools, APIs, data, workflows, users, and business rules interact within an automation
Ability to translate business process requirements into structured workflows, decision logic, test cases, tool instructions, and production-ready automation behavior
Ability to use data to guide decision-making, validate assumptions, identify performance trends, and inform automation design, prioritization, and solution improvements
Working knowledge of APIs, JSON, authentication concepts, request/response payloads, error handling, and integration troubleshooting
Ability to write, refine, and test prompts, scripts, business rules, tool instructions, and workflow logic for AI agents and automated processes
Strong technical QA mindset, including the ability to define happy paths, exception paths, regression tests, edge cases, fallback behavior, and release validation criteria
Strong analytical and problem-solving skills, with the ability to diagnose issues across data quality, workflow design, tool behavior, platform configuration, and user behavior
Ability to use logs, dashboards, reports, transcripts, and test results to identify failure patterns and recommend durable fixes
Strong written and verbal communication skills, with the ability to document technical designs clearly and communicate effectively with business, product, engineering, and leadership stakeholders
Demonstrated ability to take initiative, work independently, manage multiple priorities, and deliver reliable solutions in a fast-moving environment
Works quickly and efficiently, with the ability to prototype, test, learn, iterate, and improve automation solutions while maintaining appropriate governance and quality controls
Adept at assessing organizational dynamics and managing change
Works quickly and efficiently. Able to test solutions, learn, and iterate quickly
Proactive and pragmatic problem solver
Communicates effectively across multiple mediums

Nice To Haves

Bachelor’s degree or equivalent post-high school education and/or work-related experience in Computer Science, Information Systems, Engineering, Business Technology, Data Analytics, Product Management, or related field preferred
Transportation, Logistics, and/or Tech industry experience a plus

Responsibilities

Design, configure, and implement AI-enabled workflows, agent logic, prompts, tool instructions, routing rules, and exception handling to support business process automation goals.
Engineer prompts, scripts, decision trees, workflow steps, and guardrails that guide AI agents through consistent, accurate, and business-aligned interactions.
Connect agents and automation workflows to approved tools, APIs, data sources, communication channels, and business applications in partnership with IT and system owners.
Translate business requirements, process maps, and SME input into clear technical designs, testable logic, and production-ready automation behavior.
Perform technical QA, regression testing, scenario testing, and edge-case validation before automation changes are released to production.
Monitor system-level performance, tool usage, error patterns, workflow failures, and automation quality to identify defects, risks, and improvement opportunities.
Debug automation issues across prompts, workflows, integrations, data inputs, tool responses, and platform configuration to determine the appropriate corrective action.
Bring major changes in agent capabilities, workflow design, tool usage, integrations, and automation architecture online in a controlled and well-documented manner.
Partner closely with Business Process Automation Specialists to understand performance issues, prioritize enhancements, clarify requirements, and support safe change management.
Maintain technical documentation, workflow diagrams, tool definitions, test cases, release notes, version history, and support procedures for assigned automations.
Stay current with AI automation platforms, prompt engineering techniques, integration patterns, testing approaches, and internal technology standards through continuous learning and experimentation.
Collaborate in-person with all levels of the organization to harness collective intelligence of the workforce.
Attend all in-person meetings and trainings on recent developments, goals, and objectives. Participate in such discussions by offering input and advice.
Regularly engage remotely and in-person with customers and potential customers to establish rapport, open communication, and expectations.