Job description

Turning a natural language question into a relevant home recommendation is harder than it sounds, and that's the problem PF Scout exists to solve within Property Finder's marketplace. As a Software Engineer on this team, you work across the stack, from user experience and APIs through data retrieval, search, LLM integrations, observability, and production operations. Features get built and shipped end to end across TypeScript and Node.js backend services alongside React based frontend experiences, with you owning implementation, testing, deployment, and iteration based on real user behavior. Search and data intensive problems make up a good part of the work too, covering retrieval, ranking, aggregation, caching, and large property datasets. AI powered product experiences involving LLMs, tool calling, streaming, and conversational state also fall within scope, built and evolved alongside fallback handling for when things don't go as planned. Product managers, designers, data teams, and other engineers all collaborate closely with you to turn ambiguous customer problems into solutions that actually hold up in production. Latency, relevance, reliability, and cost all matter here, not just correctness, since Scout serves millions of property seekers at scale. Within the first couple of months, success looks like independently owning and shipping a meaningful Scout capability from customer experience through backend orchestration, then improving it using real production data.