About The Position

We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple’s next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Retrieval-Augmented Generation (RAG) and Agentic frameworks. You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you’re excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale.

Requirements

  • Bachelor's degree in Computer Science or similar degree or equivalent experience.
  • 4+ 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.

Nice To Haves

  • Excellent written and oral communication skills on both technical and non-technical topics.
  • Strong experience working with Gen AI based systems including RAG (Embedding or Chunking) and Agentic frameworks (e.g., LangChain, AutoGPT).
  • Experience working with RAG Data ingestion pipelines, Vector DB and data platforms (e.g., Snowflake, Spark, Flink).
  • Deep understanding of REST or GraphQL or gRPC APIs, authentication (OAuth, API keys), and distributed systems.
  • Experience in building, maintaining and enhancing RESTful web services using Spring boot for cloud platforms like AWS or GCP.
  • Strong grasp of software design principles (SOLID, DRY) and testing frameworks (Pytest, Jest).
  • Ability to debug complex cross-platform issues and optimize performance.
  • Ability to debug and improve ML workflow tuning for high accuracy.
  • Ability to articulate technical concepts effectively to diverse audiences.
  • Self-directed, self-motivated and detail-oriented with ability to come up with good design proposals and thorough analysis of production issues.

Responsibilities

  • Design and implement large-scale, secure, and highly available systems.
  • Collaborate across teams to drive the future of intelligent experiences.
  • Take responsibility for the product you ship and for the end-user.
  • Communicate responsibilities and scope clearly.
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