Effective personalization of web experiences constitutes matching user intent to content, while optimizing a set of engagement metrics and catering to diverse consumption mediums. The diversity of user interests necessitates automation in the process of constructing personalized content experiences. We propose a genetic algorithm based framework that chooses a set of content items relevant to a target user, and decides their respective sizes and relative positions to construct a layout. This layout is designed to simultaneously optimize a chosen engagement metric subject to diversity of the information presented. Comparisons against existing frameworks based on human annotations show improved prominence of key content and increased diversity of the content presented.