Summary
A senior frontend engineering role focused on designing web and mobile experiences, guiding technical direction, and integrating advanced intelligent capabilities into applications.
Highlights
Lead frontend initiatives, build advanced user experiences, and shape how intelligent systems are delivered to users.
Description
About Us
At YTL AI Labs, we build sovereign AI models that perform on par with the world’s best—while staying grounded in local needs, values, and context.
Our flagship model, Ilmu, is designed to be culturally aware, contextually intelligent, and fluent in Bahasa Melayu, delivering cutting-edge solutions that empower Malaysian businesses with intelligence that truly understands the market and the people they serve.
As pioneers of sovereign AI, we believe every nation should have the power to shape its own intelligence—guided by its people, priorities, and principles.
About the Role
As a Senior AI Frontend Engineer, you own the design and delivery of web and native iOS/Android experiences that put our AI systems directly into the hands of government and enterprise users.
You lead frontend implementation across delivery teams, set the technical direction for how AI capabilities such as chat, voice, and agentic workflows are surfaced, and ensure the web applications, mobile apps, and SDKs that expose them are production-grade.
This role is suited for experienced engineers with deep frontend fundamentals across web and native mobile who can architect and ship complex, user-facing AI products — integrating LLMs, streaming responses, and on-device AI — and raise the engineering standard of the teams around them.
Key Responsibilities
Own the architecture and delivery of React (TypeScript/Next.js) web applications that integrate AI and LLM capabilitiesOwn the architecture and delivery of native iOS (Swift/SwiftUI) and Android (Kotlin/Jetpack Compose) applications that integrate AI and LLM capabilitiesDesign chat, voice, and conversational UI components that consume streaming LLM responses (SSE/WebSocket) across web and mobile, and establish reusable patterns for themLead integration of on-device and cloud AI/ML models (e.g., Core ML, ML Kit, TensorFlow Lite) for on-device inference where requiredDesign and maintain the API/SDK integration layers connecting web and mobile apps to backend AI services, including LLM endpoints and retrieval pipelinesSet the standard for app performance, latency, memory, and battery/bundle-size optimisation for AI-driven featuresDefine secure handling of user data and model outputs in line with data protection and security guidelinesPartner with backend/AI engineers, designers, and product managers to translate requirements into well-architected web and native mobile featuresEstablish and uphold engineering standards for clean, testable, maintainable React/TypeScript, Swift, and Kotlin codeOwn testing (unit/UI/E2E), release management (web deploys, App Store/Play Store), and monitoring of AI-driven frontend featuresLead debugging and performance tuning across the frontend-to-backend AI pipelineDrive code reviews and technical discussions, and mentor mid-level and junior frontend engineersMaintain clear documentation and reusable patterns for implemented components
What We’re Looking For
5+ years experience building web and/or native iOS/Android applications in productionStrong proficiency in React, TypeScript, and modern web tooling (e.g., Next.js)Solid working knowledge of Swift/SwiftUI and/or Kotlin/Jetpack Compose, with the ability to work across web and native platformsProven experience integrating REST APIs and streaming interfaces (SSE/WebSockets) into frontend applicationsGood understanding of LLMs, prompting, and AI product concepts, and experience shipping AI-driven user experiencesExperience with CI/CD, web deployment pipelines, and App Store / Play Store release processesStrong grasp of UX patterns for conversational and AI-driven interfaces across web and mobileA track record of owning features end to end and raising the technical bar of a teamClear communication and collaboration skills, including mentoring and technical leadership