iOS Software Engineer (AI)

TL;DR

iOS Software Engineer (Swift/SwiftUI): Building a proactive AI chat application focusing on long-running workflows and real-world task completion with an accent on AI interaction UX and system reliability. Focus on integrating AI-powered features, optimizing performance for non-deterministic model behavior, and designing robust client-side experiences.

Location: Remote (Must be based in the United Kingdom)

Company

hirify.global is developing a proactive AI chat application aimed at bringing intelligence to everyday conversations, errands, and workflows.

What you will do

• Build and maintain production-grade iOS applications using Swift and SwiftUI.
• Integrate AI-powered features via backend APIs and implement on-device inference using TensorFlow Lite.
• Design and implement AI-specific UX patterns for streaming responses, loading states, and fallbacks.
• Optimize application performance, memory usage, and battery efficiency.
• Collaborate with backend and ML engineers to refine API design and system behavior.
• Ensure high App Store quality, stability, and production reliability.

Requirements

• 3+ years of professional iOS development experience with Swift.
• Proven experience integrating AI-powered features into mobile applications.
• Strong proficiency in async/await, concurrency, and background task management.
• Experience shipping and maintaining production-level iOS apps.
• Ability to design for latency and non-deterministic AI behavior.
• Must be based in the United Kingdom.

Nice to have

• Exposure to CoreML or light on-device ML.
• Experience with feature flags or remote configuration systems.
• Strong intuition for AI UX patterns and user trust considerations.

Culture & Benefits

• High talent density environment with a hands-on, world-class team.
• Collective decision-making process and rapid shipping cycle.
• Focus on building a magical product with practical global benefits.
• Balanced approach between maintaining high-quality work and rapid learning.

Hiring process

• Technical evaluation by team members.
• 3 to 4 interviews conducted via virtual meetings and/or onsite.
• Prompt decision-making process.