iOS Software Engineer, AI Engineering

TWG Global AI

$190K — $200K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of iOS development experience with Swift, including production apps in the App Store
  • Proficient in SwiftUI and UIKit with specific usage sense for each
  • Experience with APNs, background modes, and App Store release lifecycle
  • Strong networking fundamentals, especially with REST API and authentication flows
  • Background in building apps interacting with AI or LLM-powered backends
  • Understanding of iOS memory management and performance optimization techniques
  • Bachelor's degree in CS, Engineering, or equivalent experience

Responsibilities

  • Architect and develop the iOS application using Swift and SwiftUI
  • Integrate backend AI agent services and manage stateful interactions
  • Implement push notifications and local persistence for real-time feedback
  • Own the entire App Store release process and ensure quality deployments
  • Create and manage networking layers for API calls and resilience
  • Explore and utilize on-device ML capabilities to enhance user experience
  • Drive code quality through testing and peer reviews
  • Collaborate with product and design teams for high-quality UI
  • Mentor junior engineers to elevate team standards

Benefits

  • Work on impactful AI applications with high-profile clients
  • Join a team of top-tier data scientists, engineers, and product leaders
  • Benefit from a flat organizational structure with high autonomy
  • Receive performance-based incentives in addition to a competitive salary
Full Job Description
The Role

We are hiring a Senior iOS Software Engineer to own the native mobile experience for our agentic AI platform. You will lead iOS development end-to-end: architecture, UI, networking, on-device ML, and release management. You will work closely with backend and AI engineers to surface agent capabilities in a polished, performant native client, and you will help define the standards and patterns the iOS codebase grows around.

Key Responsibilities:
  • Architect and build the iOS application using Swift and SwiftUI, establishing patterns for UI, state management, and data flow that the team can scale
  • Integrate with backend AI agent services, including streaming responses, tool-call results, and multi-step workflow state
  • Implement push notifications (APNs), background refresh, and local persistence to support real-time agent interactions
  • Own the App Store release process end-to-end: builds, certificates, provisioning, TestFlight distribution, and production releases
  • Build and maintain networking layers that handle authenticated API calls, streaming, retries, and offline resilience
  • Explore and implement on-device ML capabilities, including CoreML models, NLContextualEmbedding, and audio pipelines (Whisper, TTS) where they improve the user experience
  • Drive code quality and testing discipline through unit tests, UI tests, and code review
  • Partner with product and design to deliver polished, accessible UI that meets the quality bar of a top-tier consumer app
  • Mentor junior engineers and raise engineering standards across the mobile codebase

Requirements
  • 5+ years of iOS development experience with Swift, including production apps in the App Store
  • Deep proficiency with SwiftUI and UIKit, and strong opinions about when to use each
  • Demonstrated experience with APNs, background modes, and the full App Store release lifecycle
  • Strong networking fundamentals: URLSession or equivalent, REST API integration, streaming, and auth flows
  • Experience building apps that interact with AI or LLM-powered backends, including streaming and stateful conversation UI
  • Solid understanding of iOS memory management, performance profiling (Instruments), and crash analysis
  • Experience with unit testing (XCTest) and UI testing frameworks
  • Bachelor's degree in CS, Engineering, or equivalent practical experience

Strongly Preferred:
  • On-device ML experience with CoreML, NLContextualEmbedding, or audio pipelines (Whisper, TTS)
  • Familiarity with LLM and agent platform concepts: tool calls, multi-step workflows, prompt/response streaming
  • Experience working with multi-provider LLM APIs (Anthropic, OpenAI, Google) from a mobile client
  • Exposure to MCP (Model Context Protocol) server or client integration
  • Experience in a multi-tenant SaaS environment with non-trivial auth (OAuth, RBAC)
  • Prior experience working with Palantir Foundry is a plus

Benefits
  • Work on real-world AI applications with high-impact clients
  • Collaborate with world-class data scientists, engineers, and product leaders
  • Flat org structure, high trust, high autonomy
  • Competitive salary + performance-based incentives

Position Location

This is an onsite position preferred to be located in Santa Monica, CA, or New York, NY. Relocation support can be provided to the right candidates.

Compensation

The target base pay for this position is $190,000-$200,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

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