Software Engineer (GenAi - Platform & Solution), AI & Data Platforms (AiDP)

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.

An ideal candidate should be a 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. The main responsibilities for this position include, * 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
• Bachelor's degree in Computer Science or similar degree or equivalent experience, * Excellent written and oral communication skills on both technical and non-technical topic.
• 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