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 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. Youll shape both the agent architecture and the application interfaces it operates through.
Were a senior team within Maps Data that owns a critical piece of Apples mapping infrastructure. Our platform is a full-featured geospatial macOS system with a vast system of plugins and use cases deeply integrated with Apples 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.
Design and build agent frameworks that automate map data processing workflows from task intake through data modification and validationnDevelop tool-use patterns and orchestration layers that give agents structured access to data sources decision making and complex data modificationsnIntegrate LLM capabilities with domain-specific geospatial context to enable intelligent decision-making over map datanBuild feedback loops evaluation harnesses and safety mechanisms appropriate for agents operating on production data at scalenExtend the platforms APIs to support agent-driven workflows and developmentnCollaborate with the broader team on the native macOS application backend operations modeling and spec teams
Demonstrated experience building agentic systems AI-driven automation or autonomous workflows (tool-use agents multi-step reasoning orchestration frameworks)nStrong software engineering fundamentals you can own parts of critical production systemsnExperience with LLM integration patterns: prompt engineering function calling retrieval-augmented generation evaluation. You understand the pitfalls and build the guardrailsnProficiency in Swift; ability to dive into large mature codebases and deliver incremental improvements toward long-term goalsnExperience implementing REST APIs ideally with code generation and OpenAPI
Experience with GIS (strong plus)nExperience with macOS or iOS application developmentnFamiliarity with service-oriented architectures plugin systems or platform engineeringnUnderstanding of data validation at scale rules engines transaction integrity quality assurance workflowsnContributions to agent frameworks developer tools or internal productivity platforms
Required Experience:
Unclear Seniority
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 looking for a softwa...
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 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. Youll shape both the agent architecture and the application interfaces it operates through.
Were a senior team within Maps Data that owns a critical piece of Apples mapping infrastructure. Our platform is a full-featured geospatial macOS system with a vast system of plugins and use cases deeply integrated with Apples 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.
Design and build agent frameworks that automate map data processing workflows from task intake through data modification and validationnDevelop tool-use patterns and orchestration layers that give agents structured access to data sources decision making and complex data modificationsnIntegrate LLM capabilities with domain-specific geospatial context to enable intelligent decision-making over map datanBuild feedback loops evaluation harnesses and safety mechanisms appropriate for agents operating on production data at scalenExtend the platforms APIs to support agent-driven workflows and developmentnCollaborate with the broader team on the native macOS application backend operations modeling and spec teams
Demonstrated experience building agentic systems AI-driven automation or autonomous workflows (tool-use agents multi-step reasoning orchestration frameworks)nStrong software engineering fundamentals you can own parts of critical production systemsnExperience with LLM integration patterns: prompt engineering function calling retrieval-augmented generation evaluation. You understand the pitfalls and build the guardrailsnProficiency in Swift; ability to dive into large mature codebases and deliver incremental improvements toward long-term goalsnExperience implementing REST APIs ideally with code generation and OpenAPI
Experience with GIS (strong plus)nExperience with macOS or iOS application developmentnFamiliarity with service-oriented architectures plugin systems or platform engineeringnUnderstanding of data validation at scale rules engines transaction integrity quality assurance workflowsnContributions to agent frameworks developer tools or internal productivity platforms
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