Applied AI Engineer: AI-Powered Analytics & Agents

Apple Inc.; Austin (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Apple Inc. in Austin, TX is seeking an Applied AI Engineer to build AI-powered analytics platforms that connect LLMs with internal data and tools.

You will design scalable agent systems, improve orchestration, and deliver reusable components enabling teams to automate complex analyses. You will collaborate with engineers, data scientists, and business partners to translate domain expertise into practical AI capabilities, ensuring scalable, low-latency, and reliable production systems that drive

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, or related field, or equivalent practical experience.
• Experience designing, building, and deploying production software systems, with strong Python programming 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.
• 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

Python programming

LLM workflows

Distributed data systems

Communication

Education

Bachelor's degree in CS/Engineering/ML or equivalent

Tools

Python

LLM tooling

Tool calling

RAG

Job description

Apple Inc. in Austin, TX is seeking an Applied AI Engineer to build AI-powered analytics platforms that connect LLMs with internal data and tools.

You will design scalable agent systems, improve orchestration, and deliver reusable components enabling teams to automate complex analyses. You will collaborate with engineers, data scientists, and business partners to translate domain expertise into practical AI capabilities, ensuring scalable, low-latency, and reliable production systems that drive