Mobile Engineer (iOS)

Department: Mobile Development

Location: Europe, Buenos Aires, Georgia, Poland , Armenia, Kenya, Latin America, Philippines, Indonesia, Boston, Thailand, Hong Kong, New York , South Africa

Employment Type: FullTime

We’re hiring on behalf of A1, a high‑talent team building the next generation of AI‑native productivity applications. Their mission is to replace repetitive digital work with AI that can reliably complete real tasks for everyday users.

Rather than building another chatbot, A1 is creating long‑running AI workflows that manage conversations, coordinate actions, maintain context, and interact with external services — all with minimal user input. The product is designed to deliver high reliability, persistent context, and real‑world task completion, helping users save ~90% of their time on everyday tasks.

Role: iOS Software Engineer

As an iOS Software Engineer, you will own the iOS client experience end‑to‑end. This is not a thin integration role — you will build a production‑grade iOS application where AI interactions are central to the product. Performance, reliability, and user trust will be your top priorities.

Focus Areas

• Build and maintain iOS applications using Swift and SwiftUI.

• Integrate AI‑powered features through backend APIs.

• Design UX patterns for AI interactions (loading states, streaming responses, retries, 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.

Expected Outcomes

• Stable, smooth, and reliable iOS applications for real‑world use.

• Optimized performance: responsive, low‑latency, efficient on memory and CPU.

• Production issues detected early, monitored effectively, and resolved with clear root‑cause analysis.

Tech Stack

• Swift

• SwiftUI

• Swift Package Manager (SPM)

• SQL / NoSQL

• TensorFlow Lite (on‑device inference)

How They Work

A1 believes the best products are built by small, world‑class teams. They operate with high talent density, collective decision‑making, and rapid execution — balancing quality with speed. Joining this team means bringing structure, exercising judgment, and executing independently to deliver a truly magical product into users’ hands.

Interview Process

• 3–4 interviews maximum.

• Conducted virtually and/or onsite.

• Applications evaluated directly by technical team members.

• Transparent and efficient process with prompt decisions.

• Successful candidates will receive not just a job offer, but an invitation to join a mission‑driven team bringing AI to billions globally.