iOS Software Engineer, AI Engineering

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries—including financial services, insurance, technology, media, and sports—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. 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 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 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.