Senior AI Engineer: Agent Tools & Orchestration

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 170,000 - 240,000; Full time

Job summary

Apple Inc. in Cupertino, CA seeks a Senior Applied AI Engineer to advance agent tools and capabilities across Siri and Apple Intelligence. You will design platform components, runtime, and APIs that scale model-driven features while preserving performance and privacy on devices across Mac, iPhone, and Apple Watch.

This role emphasizes collaboration with app and frameworks teams, experimentation, and building safe, reliable systems at scale, with a focus on latency, memory, and cost efficiency.

Qualifications

• Bachelor's degree in CS, ML, or related field.
• 3+ years of industry experience.
• Proficiency in Swift, C++, Objective-C, or Python.
• Hands-on experience shipping production systems built around LLMs.

Responsibilities

• Develop and optimize the platform and runtime powering Siri under strict latency, memory, and power constraints.
• Advance agent capabilities through systematic, data-driven experimentation.
• Drive the quality loop from early stage feature development through hillclimbing on data from the field.
• Collaborate closely with Apple’s app and frameworks teams to bring their experiences into Siri and use their requirements to shape the platform.
• Navigate ambiguity and move fast in a rapidly evolving, frontier AI space

Skills

Strong communication

System design

APIs

Collaboration

Problem solving

Education

Bachelor's degree in CS/ML

Tools

Swift

C++

Python

Objective-C

LLMs

Job description

Apple Inc. in Cupertino, CA seeks a Senior Applied AI Engineer to advance agent tools and capabilities across Siri and Apple Intelligence. You will design platform components, runtime, and APIs that scale model-driven features while preserving performance and privacy on devices across Mac, iPhone, and Apple Watch.

This role emphasizes collaboration with app and frameworks teams, experimentation, and building safe, reliable systems at scale, with a focus on latency, memory, and cost efficiency.