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In this role you'll design and build features that shape how customers discover products – tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence – not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
– Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
– Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
– Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
– Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
– Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
– Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.