Requirements
About the Company
Over 5 billion users rely on basic applications today- email, notes, tasks, calendar- that aren’t AI-native. This company’s mission is to build proactive applications for anyone in the world who isn’t used to complex prompting, bringing intelligence to conversations, errands, organizing, and workflows with minimal to no prompting.
The product prioritizes reliability for long-running workflows, persistent context, and real-world task completion, with a strong belief that well-built products can greatly reduce hallucinations. The broader objective: help organize anyone’s life so people can spend time on what’s valuable and meaningful.
Role
As an iOS Software Engineer, you’ll own the iOS client experience, how AI feels, responds, and performs in users’ hands. This is not a thin integration role. You’ll build a production-grade iOS application where AI interactions are central to the product experience, and performance, reliability, and user trust are critical.
Focus
Build and maintain iOS applications using Swift and SwiftUI
Integrate AI-powered features through backend APIs
Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks
Optimize performance, memory usage, and battery efficiency
Capture user signals and feedback to support AI evaluation and iteration
Collaborate closely with backend and ML engineers on API design and system behavior
Maintain high App Store quality, stability, and production reliability
Ideal Experience
3+ years of iOS development experience using Swift
Hands-on experience integrating AI-powered features into mobile apps
Strong understanding of async/await, concurrency, and background tasks
Solid iOS performance and memory optimization skills
Experience shipping and maintaining production iOS apps
Comfort designing for latency, partial failure, and non-deterministic AI behavior
Exposure to CoreML or light on-device ML
Familiarity with feature flags or remote configuration systems
Strong intuition for AI UX patterns and user trust considerations
Outcomes
Stable, smooth, reliable real-world iOS applications
Optimized performance: responsive, low-latency, efficient on memory and CPU
Production issues detected early, monitored effectively, resolved with clear root-cause analysis
Tech Stack
Swift
SPM
SwiftUI
SQL / NoSQL
TensorFlow Lite (on-device inference)
How They Work
A small, high-talent-density, hands-on team that makes decisions collectively and moves quickly, balancing shipping quality work with learning. The role requires bringing structure, exercising judgment, and executing independently.
Interview Process
3-4 interviews if there’s a fit, evaluated by technical team members, conducted virtually and/or onsite. Transparent, efficient process with a prompt decision.
Compensation:
The base salary range for this role is:
United States: $ 135.000 – $ 205.000 USD
Canada: $ 130.000 – $ 180.000 CAD
The range that applies depends on the country you are hired in.
Final pay within the range depends on location and experience.
This role is also eligible for equity.
_edited.png)