Software Engineer (GenAI Platform), Ai & Data Platforms

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.

Description

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.

Minimum Qualifications

Bachelor's degree in Computer Science or similar degree or equivalent experience

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

Preferred Qualifications

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