Applied AI Engineer, Apple Ads

What you'll do

• Design AI agent systems and orchestration connecting LLMs with data infrastructure, APIs, and analytical tools.
• Develop reusable platform components, evaluation frameworks, and monitoring to improve reliability, accuracy, and performance.
• Translate analytical workflows and business expertise into production AI capabilities, optimizing for scalability, latency, and maintainability.

What they ask for

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
• Experience designing, building, and deploying production software systems; strong Python and software engineering fundamentals.
• Hands-on experience building and deploying LLM-powered applications using agentic workflows, tool calling, RAG, or related techniques.
• Experience with large-scale data platforms or distributed data systems; foundation in AI, machine learning, statistics, and software engineering.

Nice to have

• Experience scaling AI agent platforms or developing LLM evaluation, benchmarking, and observability systems.
• Experience with advanced retrieval, embeddings, fine-tuning, inference optimization, natural-language-to-SQL, analytical agents, or decision-support platforms; advanced degree.

Pay

$150,400 and $277,600 USD base salary

Tools

Python, LLMs, MCPs, RAG, APIs

AI focus

Develop agentic AI and LLM-powered analytics and decision-support systems, including orchestration, retrieval, evaluation, monitoring, and production deployment.