Job Description

What you will do:

The Payment Technology team provides integrated payment solutions for all miHoYo products across Mainland China and overseas markets. Our systems cover a wide range of core capabilities, including cross-platform product pricing, global payment method integration, intelligent transaction routing, targeted promotional discounts, fraud detection and prevention, as well as real-time data analytics and reconciliation.

As a mission-critical module that directly impacts player experience and company revenue, we place a strong emphasis on technical excellence to ensure our systems remain highly available and scalable.

As a key member of the Payment Team, you will:

Design, develop, and maintain core payment-related systems, including pay-ins, payouts, products, and marketing systems, delivering the best possible payment experience for global users across multiple games
Lead and drive the adoption of AI-native workflows within payment development, operations, and support scenarios, significantly improving overall efficiency, including but not limited to:
Leveraging LLMs to enhance engineering productivity (e.g. technical solution generation and evaluation, AI-assisted code generation and refactoring, AI code review, AI-driven automated testing, online alert diagnosis and auto-remediation)
Building intelligent agents tailored for the payment domain (e.g. customer complaint investigation and response agents, business integration assistant bots, payment operations assistants)
Actively participate in business discussions and collaborate closely with cross-functional teams and upstream/downstream partners to explore productized AI applications in payment scenarios
Design reliable, maintainable AI-driven technical solutions and take ownership of initiatives from 0 to 1, including project proposal, implementation, launch, and continuous iteration

What you will need:

Bachelor’s degree or above in Computer Science or a related field, with at least 3 years of software engineering experience
Solid understanding of mainstream AI technologies and large language model fundamentals, with hands-on experience using and optimizing modern AI tools, including but not limited to:
Building MCP servers to extend model capabilities with external tools
Maintaining RAG systems based on vector databases
Designing agent memory systems
Optimizing and evaluating prompt designs
Designing collaboration and orchestration in multi-agent architectures
Strong curiosity and passion for learning, with a habit of staying up to date with the latest industry trends and AI advancements; highly self-motivated to explore and apply emerging AI technologies in real-world scenarios
Strong ownership mindset, able to independently drive assigned tasks and projects across all stages, while effectively coordinating with dependent teams and stakeholders
Good understanding of common web backend technologies (e.g. microservices, databases, caching, message queues), and the ability to integrate AI capabilities effectively into backend systems
Fluent in English and Mandarin, able to communicate effectively with internal stakeholders and external payment partners