Define and build AI systems, translating AI potential into reliable real-world applications.
•Our mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting.
•We focus on high reliability for long-running workflows, persistent context, and real-world task completion, handling multi-step reasoning and external tool interaction.
•Key Responsibilities Define end-to-end AI system requirements from capability to user impact.
•Translate model capabilities and constraints into clear product decisions.
•Make trade-offs across quality, latency, cost, reliability, and UX.
•Collaborate closely with ML, backend, and mobile engineers on system design and iteration.
•Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
•Requirements Strong grounding in computer science fundamentals, algorithms, data structures, and system design.
•Solid understanding of ML fundamentals and production AI systems.
•Hands-on exposure to AI-powered products, including LLM-based systems.