AI Engineer

• Build customer-facing and internal product features end to end.
• Develop web flows, backend APIs, admin tools, dashboards and operational systems.
• Support products across insurance, payments, savings, investing, travel and financial services.
• Work with product, design, mobile and operations teams to launch fast.
• Integrate APIs, handle data flows and improve production reliability.
• Use analytics, feedback and production issues to improve features after launch.
• Help build tools that reduce manual work and improve speed across the business.

Full Stack Software Engineer – AI Neobank App

• Build AI-powered workflows, assistants, agents and automation systems.
• Apply AI across customer support, CRM, onboarding, claims, renewals, payments, operations and internal tools.
• Work with product and engineering teams to turn manual processes into scalable AI-native systems.
• Build integrations with LLMs, internal data, APIs, documents, knowledge bases and business systems.
• Design evaluation, monitoring and fallback flows so AI outputs are useful, safe and reliable.
• Prototype quickly, test with users or operators, then productionize what works.
• Improve speed, quality and consistency across workflows using AI where it creates real business value.

Applied AI Engineer – AI Neobank App

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Mobile Developer – AI Neobank App

• Generative AI and Large Language Model (LLM) applications
• Retrieval-Augmented Generation (RAG) solutions
• AI Assistants and Engineering Copilots
• Model Context Protocol (MCP) integrations
• AI Agent and workflow automation solutions
• Design, develop, and evaluate AI-powered prototypes and proof-of-concept solutions
• Build integrations between AI applications and enterprise engineering platforms, such as Windchill PLM, JIRA, TPM, and other business systems
• Develop AI orchestration workflows that leverage multiple engineering systems and data sources to automate and streamline complex business processes
• Assist with data preparation, system integration, validation, and end-to-end testing of AI solutions
• Collaborate with IT leads, architects, and business stakeholders to understand requirements and translate them into practical AI-enabled solutions
• Document designs, implementation approaches, test results, and lessons learned to support solution adoption and continuous improvement

AI Engineering Hub Intern

Applied AI Engineer – Finance Super App

• Lead delivery of AI-driven workflow automation and backend system initiatives end-to-end.
• Translate complex operational and business problems into clear system designs and engineering execution plans.
• Design backend architectures and workflow systems for multi-step insurance processes.
• Define and implement system logic for approvals, state transitions, document flows and policy lifecycle automation.
• Review architecture, code and implementation quality to ensure correctness, scalability and reliability.
• Mentor engineers and raise overall engineering standards, system thinking and delivery quality.
• Work closely with product, operations, QA and DevOps to deliver complete, production-ready systems.
• Improve system stability through monitoring, debugging, root cause analysis and production issue resolution.
• Ensure high-quality releases with strong operational awareness and minimal production risk.

Technical Lead – AI Automation Systems

• Establish and maintain a comprehensive AI transformation strategy & governance framework, including standards, methodologies, templates, and processes that ensure consistency, quality, and auditability across all transformation programs.
• Define and operationalize end-to-end program lifecycle management practices — from initiative intake and scoping through execution, launch, and value realization.
• Oversee and manage the AI transformation project portfolio, ensuring initiatives are strategically prioritized, resourced, and tracked against defined OKRs and KPIs aligned with Pfizer China’s GTM transformation strategy.
• Serve as the primary liaison between the GTM Transformation Team and senior leadership, BU leads, digital, CEI, and external partners, ensuring transparent communication, alignment, and sustained executive sponsorship.
• Develop and maintain the integrated AI transformation roadmap, incorporating strategic priorities, resource constraints, and emerging opportunities to guide multi-year transformation execution.
• Design and deliver executive-level dashboards, progress reports, and strategic updates that communicate transformation milestones, risks, and business value realization to senior leadership and the Board.
• Optimize resource allocation across the transformation portfolio, managing workforce planning, vendor engagement, and budget deployment to maximize program impact.
• Proactively identify, assess, escalate, and mitigate risks and issues across transformation programs.

Machine Learning Engineer jobs in China

See all jobs on JobTailor