Applied AI Engineer, Agent Harness

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$225,300 / yr
Posted
1 day ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $199k
This role $188k
$139k $248k
below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $188k versus about $199k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3552 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2742 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer, Agent Harness

The Applied AI Engineer, Agent Harness joins the Siri organization to develop the foundational harness that enables large language models to function as personal assistants. You will build and evolve core parts of the agent runtime, including the planning loop, session lifecycle, concurrency, and cancellation. Responsibilities involve building the executor for tool calls, managing conversation states, and integrating on-device and server models with low-latency streaming. You will use systems languages like Swift, C++, Rust, Objective-C, or Go to solve complex problems regarding memory, power limits, and performance optimization. The role focuses on creating a reliable system for multi-step tasks that survive interruptions while ensuring safety and privacy. You will validate changes using evals and latency metrics to ensure the model behaves correctly within a resource-constrained environment.

What you'll do

  • Build and evolve core agent runtime components including the planning loop, session lifecycle, and concurrency.
  • Develop the platform for managing conversation state, tools, and dynamic instructions for the model.
  • Build an executor to dispatch tool calls to apps and services while handling results and failures reliably.
  • Integrate on-device and server models with low-latency streaming and mid-response interruption capabilities.
  • Implement safety, security, and privacy protections into all harness components.
  • Validate harness changes using evals and latency metrics to adapt to new model generations.
  • Create tracing, replay, and testing tools to make the nondeterministic system debuggable.

What we're looking for

  • Bachelor's degree in Computer Science or a related field.
  • 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.
  • Daily use of agentic coding tools such as Claude Code, Codex, or Pi.
  • Experience with Swift and Apple platform development (preferred).
  • Experience building agent harnesses, orchestration frameworks, or multi-step tool-use systems (preferred).

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