Job Description
At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Claris, an Apple company, is a place where extraordinary people gather to do their best work. Just be ready to dream big. The workplace today is flooded by applications, but organizations struggle to integrate and automate processes that run across them. At Claris, we are building a better way for the world's 500 million knowledge workers to do their jobs better. We accomplish this by empowering them to automate their processes and integrate data across all their applications in a matter of days thanks to an easy-to-use visual platform.
If you're passionate about building intelligent software that runs where customer data lives, thrive on hard systems problems, and want to shape how organizations make sense of their data, this is your team. You'll build the native macOS platform that puts AI-powered insights directly into the hands of knowledge workers.
We are looking for a senior Swift engineer to join a small, focused team building an on-device AI pipeline for macOS. This is a systems-level role where you'll work across native AI runtime and orchestration, platform integrations and enterprise connectors, deterministic data execution, or adaptive macOS UI depending on your strengths and interests. The architecture is a multi-stage pipeline with layered Swift Package Manager targets, strict dependency boundaries, and no shortcuts.
You'll work on problems that matter. The software you build protects customer data, keeps critical systems running, and delivers tools that organizations from schools to hospitals trust every day. We're looking for someone who ships real macOS desktop software, takes ownership of their technical surface, and cares about the people who use what we build. This is not a chatbot — it's a structured, multi-stage pipeline that turns natural language into verified, traceable results.
Preferred Qualifications
Experience with Apple Foundation Models, guided generation, structured output, tool calling, and streaming on-device inference. Familiarity with MLX or similar on-device ML frameworks.
Experience building or integrating with MCP (Model Context Protocol) or similar tool-use/connector frameworks. Familiarity with enterprise data access patterns (OData, REST, SSE).
Experience with deterministic data systems — joins, aggregations, rankings, filters, provenance tracking — using Swift (TabularData or equivalent). Familiarity with graph/vector retrieval or entity resolution is a plus.
Experience building production SwiftUI applications with AppKit interop, adaptive layouts, keyboard-first workflows, streaming UI updates, and accessibility compliance on macOS.
Experience with SPM multi-target architectures (20+ targets), strict layered dependency enforcement, and protocol-based dependency injection.
Experience with macOS system services including process lifecycle management (launchd, SMJobBless), code signing, notarization, entitlements, and sandboxing.
Experience with actor-based concurrency patterns, including data race prevention with Thread Sanitizer (TSan) and strict concurrency checking under Swift 6.
Solid understanding of CI/CD pipelines, test automation (XCTest, Swift Testing), and agile development practices. Skilled with git, branching processes, and release coordination.
Experience working collaboratively on small, senior teams where clear communication and shared accountability are essential; where everyone owns their surface end-to-end.
Minimum Qualifications
B.S. in Computer Science or equivalent software engineering experience
7-10+ years of software engineering experience with Swift
Experience shipping macOS desktop software (not iOS-only)
Strong understanding of Swift concurrency (actors, async/await, Sendable, structured concurrency)
Experience working within layered, modular architectures with strict dependency management
