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Remote, mid-level generic engineering title with AI focus increases applicant competition.
Core AI engineering skills are transferable, but enterprise domain and compliance needs raise sensitivity.
Mandatory 5+ years, production AI experience, and mentoring/on-call requirements create strict filters.
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Design, build, test, and ship production software using AI capabilities to improve workflows for dealers, consumers, and team members.
Develop reusable AI-enabled solutions across enterprise workflows including automation, document intelligence, decision support, and fraud intelligence.
Lead software engineering practices, code reviews, debugging, and mentoring within a globally distributed AI enablement team.
Bachelor’s degree in Computer Science, Information Systems, or closely related field, or equivalent experience.
Minimum 5 years of software engineering experience.
Working knowledge of AI-enabled systems (LLM-powered applications, agentic workflows, model integration).
Experience with mission-critical enterprise class applications and strong object-oriented programming skills.
Experienced in turning ambiguous or partially defined problems into reliable AI solutions with high ownership and sound judgment.
Able to operate across global teams, collaborating closely with U.S. business partners, including overlapping U.S. working hours.
Capable of coaching and mentoring software engineers and leading efforts on AI system design, quality, and production outcomes.