Theory Ventures is focused on building an Operations Cloud for physical product businesses, enhancing their ability to manage goods, dollars, and data in real time. The Staff Applied AI Engineer will own the applied AI architecture, developing solutions that enable natural-language queries and automation within the operational data model.
Responsibilities:
- Own the applied AI architecture end-to-end: model selection, orchestration, RAG over the unified operational data model, evals, guardrails, and cost/latency budgets in production
- Build Dossbot into the primary interface for operations: natural-language search, analysis, and automation grounded in live supply-chain, finance, and ops data
- Engineer AI-assisted tooling that uses foundation models to propose, validate, and apply customer schemas and workflow definitions on live production tenants
- Design agentic workflows that act inside enterprise guardrails: permission-aware, auditable, tenant-isolated, and safe to run against a customer's system of record
- Stand up the eval and observability infrastructure to measure quality, catch regressions, and proactively detect anomalous or risky emergent behavior
- Partner with product, design, and our Forward Deployed team to deliver on their highest-leverage AI use cases
- Mentor and shape engineering culture as the team's center of gravity for applied AI, raising the bar on how we build, evaluate, and ship LLM-powered systems