Applied AI Engineer
Daydream, San Francisco
What you will do
- Build agent capabilities end to end: planning loops, tool use, prompts and instructions, memory, review workflows, evals, backend services, and customer-facing product surfaces.
- Design safe action systems across integrations like GitHub, Webflow, Google Search Console, Google Analytics, Notion, and Slack.
- Build observability and evaluation workflows so we can understand agent behavior, catch regressions, and measure whether Sunbeam is getting better at the job.
- Debug production agent runs from the model output all the way through database state, tool calls, customer context, and external API behavior.
- Work directly with customers and internal operators to turn expert growth judgment into product behavior.
- Ship quickly across the stack. On a given week, you might change agent instructions, add an MCP tool, create a skill to manage memory, tune a review gate, and fix a frontend workflow.
What you need
- You have been building AI products for 3+ years, with experience in production LLM agents, evals, tool-use systems, retrieval/memory systems, or workflow automation.