Apple is looking to build the foundation of its next-generation Generative AI platform, requiring the design and implementation of large-scale, secure, and highly available systems to drive the future of intelligent experiences.
Requirements
- 2+ years of software engineering experience in Java or Python
- Proven skills in designing scalable, highly available distributed systems which can handle high data volumes.
- Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies
- Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP
- Extensive understanding of LLM’s, RAG, or Agentic workflow
- Strong experience working with Gen Ai based systems including RAG (Embedding or Chunking) and Agentic frameworks (e.g., LangChain, AutoGPT)
- Deep understanding of REST or GraphQL or gRPC APIs, authentication (OAuth, API keys), and distributed systems
Responsibilities
- Leading effort to build large scale, distributed and highly available system and pipelines.
- Understanding of GenAI based platform and system including RAG, Agents Etc
- Design and develop solution using Java tech stack.
- Design and implement as per secure guidelines
- Work with QA to identify issues and fix it.
- maintaining the stability and high reliability of our systems.
- Ability to debug complex cross-platform issues and optimize performance.
Other
- strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
- You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development.
- You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly.
- Work with cross functional teams to drive requirements.
- Excellent written and oral communication skills on both technical and non-technical topic.
