34 AI Engineer jobs in China available for remote work from home. Apply for positions such as Product Engineer, AI Email App, Lead Software Engineer, AI Email App, Product Engineer - AI Stockbroking and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will define end-to-end requirements for AI capabilities and translate model performance into actionable product decisions. You will collaborate with ML and engineering teams to establish quality bars, evaluation frameworks, and system reliability.
You will own the application engineering strategy and architecture, bridging AI capabilities with reliable product experiences across backend and client platforms. Additionally, you will lead a team of senior engineers to ensure high-quality code, system stability, and effective operational foundations.
You will own product areas within the AI Stockbroking division, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Finance division, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas across financial services, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
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Own product areas across insurance, payments, and financial services by defining user problems, success metrics, and roadmaps. Collaborate with engineering, design, and operations teams to launch features and drive iterative improvements based on data and user feedback.
You will own end-to-end development of product features while integrating AI coding tools into your daily workflow to maximize efficiency. Additionally, you will act as a full stack seed within your team to champion AI-augmented development practices and improve cross-team collaboration.
Build and operate backend systems that serve AI-powered features in production environments. Design inference pipelines, orchestration layers, and service boundaries while ensuring system reliability and performance.
You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and low latency. Your role involves building production systems, designing inference pipelines, and maintaining observable APIs for mobile and desktop clients.
Build and ship mobile features for Android and iOS to create an AI Finance Agent. Collaborate with product and design teams to turn complex financial journeys into intuitive mobile experiences.
Develop and ship Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to create intuitive financial service flows and optimize app performance and reliability.
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.
Participate in end-to-end development of product features across frontend and backend while integrating AI coding tools into the workflow. Contribute to the full product lifecycle from design to deployment under the guidance of senior engineers.
Build AI-native systems and agents to automate financial workflows for a Neobank app. Design and implement reliable, scalable AI tools for onboarding, KYC, risk review, and customer support.
Build and maintain backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and financial services. Design reliable systems for transactions, partner integrations, and reconciliation while improving system observability and security.
Build AI-native systems, agents, and automated workflows to optimize financial services and internal operations. Design and productionize scalable AI integrations with LLMs and internal data 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 tools while collaborating with cross-functional teams to launch financial services quickly.
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Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to create stable, secure, and high-performance financial service user flows.
Design and build internal AI productivity tools, including coding assistants and knowledge retrieval systems, to improve engineering efficiency. Integrate AI capabilities across the software development lifecycle and experiment with emerging technologies like LLMs and AI agents.
You will build AI-powered internal tools, including coding assistants and workflow automation systems, to improve developer productivity. You will also collaborate with engineering teams to identify technical pain points and implement LLM-driven solutions.
You will own the end-to-end development of AI features, from model behavior and system orchestration to production reliability. This involves translating ambiguous product problems into robust, scalable, and high-performance AI systems.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
Design, build, and ship production-grade machine learning models for high-impact use cases while leading the end-to-end ML lifecycle. Collaborate with cross-functional teams to drive AI initiatives and mentor junior engineers.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
You will design, build, and ship production-grade ML models for high-impact use cases while owning the end-to-end ML lifecycle. Collaborate across product, engineering, and data teams to drive AI initiatives and mentor junior engineers.
Design, develop, and maintain a scalable AI platform for integrating, training, and deploying machine learning models. Collaborate across teams to integrate AI capabilities with blockchain systems while ensuring data security and adherence to decentralization principles.
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Contribute to the design and development of AI agents integrated into production systems and build benchmark datasets to evaluate performance. Implement and optimize services across the stack while collaborating on multi-agent orchestration and system design.
Design, build, and validate rigorous multilingual benchmarks for large language models within terminal environments. Perform quality assurance and calibrate task difficulty through a multi-layer review process.
You will collaborate with product, data, and engineering teams to define machine learning 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 machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
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