Senior AI Engineer

Design end-to-end AI integration architectures connecting LLM APIs, vector databases, and inference systems to existing backend infrastructure.

Build reusable ML infrastructure components like feature pipelines, model serving layers, and evaluation frameworks that multiple portfolio companies standardize on.

Establish AI system integration best practices and governance patterns that become repeatable playbooks across the holding company.

Own system design reviews for AI initiatives across portfolio companies, identifying bottlenecks and recommending architectural improvements.

Optimize production AI systems for cost and latency by profiling pipelines, implementing compression, and right-sizing compute infrastructure.

Mentor engineers at portfolio companies on production AI best practices, reproducibility, monitoring, and safe deployment patterns.