Join Apples Data Platform as a Senior GenAI Engineer where youll be at the forefront of delivering transformative AI experiences across Apple products including Apple Music TV Sports and many more. You will play a pivotal role in defining and driving the roadmap for Apple Data Platforms GenAI Platform component which powers the development evaluation and deployment of AI agents and applications. This includes building foundational capabilities such as agent orchestration model configuration prompt tooling RAG integration and inference optimization enabling teams across Apple to rapidly create scalable context-aware GenAI solutions. You will collaborate closely with cross-functional teams of innovative software engineers product managers and engineering leaders to continuously evolve the platform for performance flexibility and ease of use.
8 years of software development experience
3 years of experience as a technical lead guiding teams through complex design decisions and setting high benchmarks for code quality performance and scalability
In-depth understanding of large language models (LLMs) and their application in AI-driven solutions including inferencing embedding and knowledge base integration (RAG) for improved data retrieval and contextualization
Hands-on experience designing and building GenAI platforms that allow users to create configure and deploy AI applications supporting features like agent orchestration prompt engineering RAG integration and model selection
Experience building AI agents capable of complex multi-step reasoning and tool usage with a focus on reliability traceability and composability
Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
Deep knowledge of LLM inference optimization techniques including prompt tuning caching quantization and latency reduction across different model families
Strong programming skills in Python Java or similar languages with an emphasis on AI/ML systems development and platform engineering
Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
Passion for operational excellence automation and delivering scalable developer-friendly AI infrastructure
B.S M.S. or PhD Degree in Computer Science/Engineering or equivalent work experience
Expertise in AWS Cloud
Hands on experience in using Kubernetes as orchestration layer
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