You'll work across the stack — backend, AI agents, and cloud automation — on the three pillars of the product: data ingestion and flexible, user-defined ontologies; the intelligence layer (extraction agents with citations, skills, and modules that capture how organizations reason); and generative outputs, where the agent builds whatever the work requires. Today the platform ingests the documents and emails flowing through an organization, applies the organization's own reasoning through governed, reusable AI modules, and generates finished outputs — deliverables, dashboards, models, client-facing artifacts, even full websites and forms — with a human approving every consequential step.