Mobile Engineer - AI Finance Agent
Build and ship mobile features for Android and iOS to create an AI Finance Agent. Collaborate with product, design, and backend teams to turn complex financial journeys into intuitive mobile products.
17 AI Engineer jobs in Hong Kong available for remote work from home. Apply for positions such as Mobile Engineer - AI Finance Agent, Android Software Engineer - AI Neobank App, Mobile Engineer - AI Finance Agent and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Build and ship mobile features for Android and iOS to create an AI Finance Agent. Collaborate with product, design, and backend teams to turn complex financial journeys into intuitive mobile products.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Focus on creating clean user flows for financial services while optimizing app performance and integrating backend APIs.
Build and ship mobile features for an AI Neobank app across Android and iOS platforms. Collaborate with product and design teams to create intuitive financial service flows and improve overall app performance.
Develop and ship native Android features for an AI Finance Agent using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and integrate backend APIs for financial services.
Lead the transition of the card operations AI agent from internal pilot to a production-grade system. Expand agent capabilities into accounting automation and policy enablement while ensuring reliability, safety, and cost-efficiency.
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Build AI-native systems and agents to automate financial workflows for a Neobank app. Design and implement reliable AI tools for onboarding, KYC, risk review, and operations while managing constraints like latency and hallucination.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and savings. Design reliable systems for transactions, partner integrations, and regulated financial product infrastructure.
Build AI-native systems, agents, and automated workflows to optimize financial services and internal operations for a Neobank app. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build end-to-end customer-facing and internal product features for an AI Neobank app. Develop web flows, backend APIs, and operational systems across financial services including insurance, payments, and investing.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and improve app performance and reliability.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
Design, build, and ship production-grade ML models for high-impact use cases while leading model architecture and deployment strategies. Collaborate across teams to drive AI initiatives and mentor junior engineers.
Design and deploy core AI systems that serve millions across Southeast Asia. Lead and mentor junior engineers while driving technical execution and engineering standards.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
Own the full development lifecycle of scalable, customer-centric applications within an AWS environment for the Account Onboarding & Management team. Collaborate with cross-functional partners to design and deploy robust systems that balance regulatory compliance with intuitive user experiences.
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