Applied AI Engineer: AI Agent Platform for Ads Analytics

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Comprehensive medical and dental cover

Retirement benefits

Employee stock programs

Educational expense reimbursement

Relocation assistance (eligible)

Bonuses or commissions

Job summary

Apple Inc. in Cupertino seeks an Applied AI Engineer to help build AI-powered analytics and decision-support for Apple Ads. You will connect LLMs to internal data, analytics tools, and business knowledge to answer complex questions in natural language.

You will work with engineers, data scientists, and business partners to translate domain expertise into reusable AI capabilities, focusing on scalability and reliability of AI-driven insights.

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• Experience designing and deploying production software with Python.
• Hands-on experience building LLM-powered apps using agentive workflows.
• Experience with large-scale data platforms or distributed data systems.
• Solid foundation in AI, machine learning, statistics, and software engineering principles.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Responsibilities

• Design and build scalable AI agent systems that connect LLMs with data infrastructure, APIs, and analytical tools.
• Advance agent orchestration, including tool calling, memory, MCPs, context retrieval, and intelligent routing.
• Develop reusable platform components that enable teams to build and extend AI-powered analytical workflows.
• Build evaluation frameworks and monitoring systems to improve agent observability, accuracy, reliability, and performance.
• Apply machine learning and analytical principles to define and improve online and offline metrics that strengthen retrieval quality, reasoning, accuracy, and traceability of AI-generated insights.
• Develop AI-native solutions from concept to production, adhering to first principles and optimizing for scalability, latency, and maintainability.
• Partner with engineers, data scientists, and business stakeholders to translate domain expertise and analytical workflows into reusable AI capabilities.

Skills

Cross-functional collaboration

Problem solving

Communication

Education

Bachelor's degree in Computer Science, Engineering, ML, Data Science, or related field

Tools

Python

LLM frameworks

RAG

Job description

Apple Inc. in Cupertino seeks an Applied AI Engineer to help build AI-powered analytics and decision-support for Apple Ads. You will connect LLMs to internal data, analytics tools, and business knowledge to answer complex questions in natural language.

You will work with engineers, data scientists, and business partners to translate domain expertise into reusable AI capabilities, focusing on scalability and reliability of AI-driven insights.