Apple Maps is built on a continuously maintained data asset of extraordinary scale. As part of the Maps Data organization, we build the internal tools that power how data sources get fused into Apple Maps. Our team is part of the platform and operational core of how the map gets maintained.
We're looking for a software engineer to lead the development of intelligent agent systems within this macOS-based platform. Think structured workflows, rich geospatial context, validation pipelines, and rich API surfaces. With the agent landscape still rapidly evolving, we need a dedicated engineer embedded on the team to invest in this effort consistently. You'll shape both the agent architecture and the application interfaces it operates through.
Description
We're a senior team within Maps Data that owns a critical piece of Apple's mapping infrastructure. Our platform is a full-featured geospatial macOS system, with a vast system of plugins and use cases, deeply integrated with Apple's map data services. The codebase is primarily Swift with modern concurrency patterns, built on a service-oriented plugin architecture. Our engineers operate across the stack — from spatial algorithms to API design to agent orchestration.
Minimum Qualifications
Demonstrated experience building agentic systems, AI-driven automation, or autonomous workflows (tool-use agents, multi-step reasoning, orchestration frameworks)
Strong software engineering fundamentals — you can own parts of critical production systems
Experience with LLM integration patterns: prompt engineering, function calling, retrieval-augmented generation, evaluation. You understand the pitfalls and build the guardrails
Proficiency in Swift; ability to dive into large, mature codebases and deliver incremental improvements toward long-term goals
Experience implementing REST APIs, ideally with code generation and OpenAPI
Preferred Qualifications
Experience with GIS (strong plus)
Experience with macOS or iOS application development
Familiarity with service-oriented architectures, plugin systems, or platform engineering
Understanding of data validation at scale — rules engines, transaction integrity, quality assurance workflows
Contributions to agent frameworks, developer tools, or internal productivity platforms
