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Applied AI Engineer, Agent Harness

Apple· Machine Learning and AI
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Cupertino, California$150.4k - $277.6kFull-timePosted 2w ago

About the role

Join the Siri organization to help shape a deeply personal and integrated assistant. Build and evolve the agent harness that turns a model into an assistant, handling real-time, latency-sensitive tasks across on-device and private cloud compute, with a focus on safety, privacy, and robust orchestration of tool use.

Responsibilities

  • Build and evolve core parts of the agent runtime: the planning loop, session lifecycle, concurrency, and cancellation
  • Build the transcript and conversation state, and the platform that defines tools and dynamic instructions and delivers them to the model
  • Build the executor that dispatches tool calls into Apple's apps and services and handles their results and failures reliably
  • Integrate on-device and server models, including low-latency streaming and interruption mid-response
  • Build safety, security, and privacy protections into harness components, working with security and privacy partners
  • Validate harness changes with evals and latency metrics, and adapt the harness as each new model generation arrives
  • Build tracing, replay, and testing tools that make a nondeterministic system debuggable
  • Bachelor's degree in Computer Science or a related field, with 2+ years of industry experience
  • Strong programming skills in a systems language such as Swift, C++, Rust, Objective-C, or Go
  • Solid foundation in concurrency, inter-process communication, and performance optimization
  • Hands-on experience building LLM-powered systems such as agents, tool calling, or prompt and context design, through professional work or substantial personal projects
  • Daily use of agentic coding tools such as Claude Code, Codex, or Pi, with informed opinions on what makes their harnesses succeed or fail
  • Ability to communicate clearly and make progress on ambiguous problems
  • Experience with Swift and Apple platform development
  • Experience building agent harnesses, orchestration frameworks, or multi-step tool-use systems
  • Experience with model inference integration, streaming protocols, or latency-sensitive client-server systems
  • Experience using evals to diagnose and improve LLM behavior
  • Experience designing APIs or platforms adopted by other engineering teams
  • Familiarity with privacy and security engineering in production systems
  • Active engagement with current research and practice in agent harness design, such as context engineering, tool use, and long-horizon agents, with a record of turning new ideas into practical improvements

Qualifications

  • Bachelor's degree in Computer Science or a related field, with 2+ years of industry experience
  • Strong programming skills in a systems language such as Swift, C++, Rust, Objective-C, or Go
  • Solid foundation in concurrency, inter-process communication, and performance optimization
  • Hands-on experience building LLM-powered systems such as agents, tool calling, or prompt and context design, through professional work or substantial personal projects
  • Daily use of agentic coding tools such as Claude Code, Codex, or Pi, with informed opinions on what makes their harnesses succeed or fail
  • Ability to communicate clearly and make progress on ambiguous problems
  • Experience with Swift and Apple platform development
  • Experience building agent harnesses, orchestration frameworks, or multi-step tool-use systems
  • Experience with model inference integration, streaming protocols, or latency-sensitive client-server systems
  • Experience using evals to diagnose and improve LLM behavior
  • Experience designing APIs or platforms adopted by other engineering teams
  • Familiarity with privacy and security engineering in production systems
  • Active engagement with current research and practice in agent harness design, such as context engineering, tool use, and long-horizon agents, with a record of turning new ideas into practical improvements

Skills

Required:ConcurrencySystems programmingLLM-powered systems

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments
  • relocation assistance
  • Apple stock purchase plan
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

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