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Description
In this role, you will be the critical engineering link between backend machine learning and the final user interface. You will be responsible for designing and implementing intelligent user experiences that leverage Large Language Models (LLMs). To make these experiences fast, accurate, and context-aware, you will integrate with data and services from multiple providers, building the complex orchestration layer required for Retrieval-Augmented Generation (RAG). You will work closely with our platform team to define the infrastructure interfaces necessary for low-latency model serving and secure data handling. Because you bring strong product thinking to the room, you will also partner directly with Apple Design and client-side teams to ensure a great user experience, translating complex AI interactions into flawless, intuitive features across Siri, Spotlight, and Safari.
Minimum Qualifications
3+ years of industry related experience, working in collaborative environmentsExperience with prompt engineering and prompt tuning techniques to tasks, conducting systematic evaluation and iteration based on quality and consistency metrics.Opinionated product-sense and focus on the end user-experienceExcellent problem solving, critical thinking, and communication skillsProficient in at least two programming languages such as: C/C++, Go, Python, JavaUnderstanding product requirements then translating them into engineering tasksBachelors in Computer Science or related field or 2 years of equivalent work experience
Preferred Qualifications
Prior experience in consumer facing product is desiredIn-depth experience with server-side development and deploymentAdvanced degree in CS
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