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Strong employer brand and metro location with specialized AI role make applicant competition moderate to high.
Requires production GenAI/LLM and agentic systems experience, making skills highly non-transferable across general industries.
Explicit 11+ years, 3+ years management, and mandatory LLM production experience create very strict filters.
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Lead and grow an AI engineering team (current size 1, target 5-8) while remaining a hands-on engineer writing production code and owning critical AI architecture decisions.
Design and implement end-to-end AI architecture including model serving, data pipelines, LLM orchestration, and integration with microservices.
Build and deliver applied GenAI and agentic systems (LLM-powered agents, RAG pipelines) that transform automotive dealership workflows.
10-14 years software engineering experience with at least 1 year in AI/ML-focused roles (applied ML, NLP, or GenAI).
3+ years engineering management experience with proven track record of growing teams.
Strong hands-on experience with LLMs in production including RAG architectures, prompt engineering, agentic tool-calling, evaluation, and observability.
Currently writing production code; deep software engineering fundamentals including system design, API design, distributed systems, CI/CD, and production operations.
Experienced engineering manager who leads by example through active coding and technical decision making, not just meetings.
Proven AI/ML practitioner with direct ownership and delivery of AI-powered products, especially involving LLMs and agentic systems.
Strong hiring skills for AI/ML talent and ability to collaborate closely with Product, Design, and Data teams to embed AI capabilities strategically.