Senior Software Engineer - AI Data Platform

As a Software Engineer, you will be responsible for building Apple’s AI Data and ML platforms. You will either work on building custom solutions ground up or take open source products and customize the same for Apple’s need. We're looking for an individual who loves to take challenges, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high-quality software under tight deadlines and constraints. This role involves building innovative tools and frameworks that can extend across different platforms within AiDP. Minimum Qualifications Bachelor’s degree in Computer Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience. 6+ years of overall experience in solftware/platform development Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, Golang etc). Experience architecting AI systems on cloud platforms. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders. Preferred Qualifications Knowledge of LLM serving and inference frameworks. 1+ years of experience shipping production-grade AI-driven solutions to external or internal customers. Hands-on experience with frameworks like Langchain/LangGraph, CrewAI, or AutoGen. Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, Retrieval-augmented generation (RAG), and agent orchestration). Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. Data Structures & Algorithms: Strong foundation and application experience. Distributed Systems: Solid understanding and hands-on experience managing at least one distributed system (e.g. Hadoop, Kafka, Spark, Flink etc. ). Problem Solving: Demonstrated ability to independently troubleshoot and resolve complex technical issues. Creative Thinking: A track record of proposing and implementing innovative solutions to technical challenges.