Applied AI Engineer, Apple Ads
Core
Build and advance AI-powered analytics and decision-support systems for Apple Ads by connecting LLMs with internal data infrastructure and analytical tools.
Role type
Senior IC Applied AI Engineer (Agentic AI & LLMs)
Builds
AI agent platforms, scalable analytical workflows, and decision-support systems for Apple Ads teams
Domain
Advertising technology, Data Insights, Machine Learning
Deliverable
production ML models
Required skills
Python, software engineering, LLM-powered applications, agentic workflows, tool calling, RAG, large-scale data platforms, machine learning, statistics
Preferred skills
multi-step orchestration, tool execution, memory management, context management, LLM evaluation frameworks, embeddings, model fine-tuning, inference optimization, natural-language-to-SQL
Technologies
LLMs, Python, RAG, MCPs
Responsibilities
Design and build scalable AI agent systems connecting LLMs with data infrastructure and APIs; Advance agent orchestration including tool calling, memory, and context retrieval; Develop reusable platform components for AI-powered analytical workflows; Build evaluation frameworks and monitoring systems for agent observability and accuracy; Apply ML principles to improve retrieval quality and reasoning accuracy; Develop AI-native solutions from concept to production; Partner with engineers and business stakeholders to translate domain expertise into AI capabilities.
