- Design, build, and ship AI-powered features across the product, from prototyping through production quality.
- Work hands-on with LLMs, embeddings, and related AI tooling to solve real product problems.
- Own technical decisions for features, including architecture, model selection, integration approach, and tradeoffs between quality, cost, and latency.
- Build across the stack, ensuring features are tested, monitored, and maintainable.
- Establish good practices for AI feature development and flag technical risks regarding reliability, cost, and edge-case behavior.
- Partner with the Senior Engineering Manager, Product, and the engineering team on planning, sequencing, and shared architecture.