Software Engineer - AI Agents & Automation, Maps Data Tooling

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
15 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 50% of similar roles. Most pay $165,082–$245,287 — the shaded band above. At the midpoint, this role pays about $210k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Software Engineer - AI Agents & Automation, Maps Data Tooling

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As a senior software engineer on Apple Maps' Data Tooling team, you will lead the development of intelligent agent systems within a macOS-based platform, focusing on automating map data processing workflows and integrating large language model capabilities with geospatial context. Your day-to-day responsibilities include designing agent frameworks, developing tool-use patterns, building feedback loops, and extending APIs to support agent-driven workflows. The role requires expertise in Swift, experience with REST API implementation, and a strong understanding of LLM integration patterns. You will work within a full-featured geospatial system deeply integrated with Apple's map data services, contributing to the platform’s architecture and application interfaces while collaborating across various teams including backend, operations, and modeling.

Skills

Swift LLM integration patterns REST APIs OpenAPI GIS macOS iOS service-oriented architectures plugin systems data validation rules engines transaction integrity quality assurance workflows

What you'll do

  • Design and build agent frameworks for automating map data processing workflows.
  • Develop tool-use patterns and orchestration layers for structured access to geospatial data.
  • Integrate LLM capabilities with domain-specific context for intelligent decision-making over map data.
  • Build feedback loops and evaluation harnesses for agents operating on production data at scale.
  • Extend platform APIs to support agent-driven workflows and development.

What we're looking for

  • Demonstrated experience building agentic systems and AI-driven automation.
  • Strong software engineering skills with ability to manage critical production systems.
  • Experience integrating LLM capabilities for prompt engineering and function calling.
  • Proficiency in Swift and capability to work within large, mature codebases.
  • Experience implementing REST APIs, including code generation and OpenAPI usage.
  • Familiarity with service-oriented architectures and plugin system integration.

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