Full Stack Engineer, AI systems

Build production-grade AI assistant workflows end-to-end, owning frontend, backend, and AI integrations. Design agent behavior for planning, tool use, failure, and recovery across multi-step tasks, integrating LLMs, memory, and external tools with streaming and low-latency requirements. Improve reliability through observability, fallback mechanisms, iteration, evaluation, and monitoring while collaborating with ML, backend, and product teams to ship real user outcomes.