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Responsibilities

• Create customer service groups and assist merchants with all issues during the integration process
• Maintain and follow up on merchants’ integration progress on a daily basis
• Assist other departments in resolving technical issues

Requirements

• Prior experience in integration/coordination is preferred
• Proficient in using Postman and Xmind
• Strong understanding of APIs and integration documentation
• Reliable and responsible, with strong learning ability and good teamwork skills

Responsibilities

• Handle customer inquiries and complaints
• Analyze customer needs effectively, provide appropriate solutions, and follow up on customer service and feedback
• Conduct daily business knowledge training and explanations
• Complete other tasks assigned by management

Requirements

• Management experience required
• Experience in software testing or basic development
• Strong written communication and guidance skills

Responsibilities

• Coordinate and communicate across departments to ensure the stability of service quality and product performance
• Develop customer service standards and processes, and be responsible for staff training and performance evaluation
• Proficient in game rules and gameplay within the BC industry
• Organize and manage customer data, and optimize service direction based on feedback analysis
• Coordinate and handle various customer complaints, taking appropriate actions based on different severity levels
• Continuously gather customer needs to support relationship management and service quality improvement initiatives, enhancing overall customer satisfaction

Requirements

• Relevant experience in technical and managerial roles within the industry
• Strong understanding of customer service operations
• Excellent communication and coordination skills, with strong ability to drive both internal and external collaboration

Responsibilities

• Monitor and effectively control the implementation of company KPI targets to meet client requirements;
• Be responsible for departmental KPI assessment;
• Coordinate and handle client-related complaints;
• Be responsible for training new and existing team members;
• Drive efficient client integration and ensure smooth operational launch

Requirements

• Relevant experience in technical and management roles within the industry
• Familiar with the six major product lines and integration processes
• Strong interpersonal communication, teamwork, coordination, and written & verbal expression skills

Responsibilities

• Risk Control Framework & Governance Development: Establish and continuously improve a comprehensive risk management framework, internal control policies, and business processes. Develop end-to-end risk control strategies and standards covering pre-, during-, and post-transaction stages throughout the entire business lifecycle.
• Core Business Risk Assessment: Conduct feasibility studies and due diligence reviews for major and innovative business initiatives. Identify, assess, and mitigate material risks while regularly organizing compliance reviews and risk assessments.
• Risk Monitoring & Early Warning Management: Build and maintain a comprehensive risk monitoring indicator system. Regularly evaluate member quality and market risks, and produce risk analysis reports. Establish early warning mechanisms for potential risks, including credit risk, operational risk, and market risk, while leading the development of contingency plans and risk response strategies.
• Team Leadership & Cross-Functional Collaboration: Lead and manage the risk control team, including talent development, training programs, performance management, and succession planning. As a key member of senior management, collaborate with various departments to balance business growth objectives with risk and compliance requirements, ensuring sustainable corporate development.

Requirements

• Bachelor's degree or above;
• Major in Finance, Economics, Accounting, Auditing, Statistics, or related disciplines preferred;
• Minimum 8–10 years of risk management experience in large enterprises, banks, or investment institutions, including at least 3 years in a senior management position;
• Strong expertise in data analytics and risk modeling, including big data risk control models and scorecard development; solid understanding of internal control framework design (COSO Framework); in-depth knowledge of industry-specific risk characteristics and transaction fraud detection;
• Strong anti-fraud investigation and crisis management capabilities;
• Excellent analytical thinking, business acumen, communication, negotiation, leadership, and cross-functional coordination skills.

Responsibilities

• Take overall responsibility for product testing activities and test results, ensuring the quality of products and deliverables.
• Develop testing plans, including resource allocation, scheduling, software and hardware environments, and testing processes.
• Lead the testing team in executing test plans, tracking progress, and reporting testing status regularly.
• Continuously improve testing practices, define testing strategies and roadmaps according to business needs, organize training on relevant tools, and recruit suitable talent to enhance testing efficiency and quality.
• Manage team performance evaluations and support the professional growth and development of team members.

Requirements

• Bachelor's degree or above in Computer Science or a related field, with at least 5 years of testing experience and 3 years of experience in a Test Director or equivalent management role.
• Solid understanding of testing methodologies and processes, with hands-on experience using test management tools such as Jira.
• Proficient in commonly used testing tools such as JMeter, Postman, and Fiddler.
• Strong programming skills in languages such as Python and Java, with practical experience in UI automation and API automation testing projects. Experience in building automated testing frameworks is preferred.
• At least 5 years of experience managing testing teams.
• Professional attitude with strong communication and learning abilities; fluent in Chinese and able to communicate effectively in English.

Responsibilities

• Lead and manage the frontend engineering team, providing technical leadership and driving technical problem-solving initiatives.
• Design and implement frontend architecture upgrades, system refactoring projects, and participate in core code development.
• Review frontend solutions across all company projects to ensure sound architectural design, including but not limited to mobile websites, desktop websites, and PWA applications.
• Drive the overall technical growth of the frontend team through code reviews, design reviews, technical sharing sessions, and the development of shared component libraries and infrastructure.
• Continuously research and evaluate emerging frontend technologies to promote innovation and engineering excellence.
• Oversee project estimation, planning, execution, and delivery management for all frontend development initiatives.
• Possess at least 3 years of experience in a Frontend Director or equivalent leadership role.

Requirements

• Bachelor's degree or above in Computer Science or a related field.
• At least 8 years of Web frontend development experience with proven team management experience.
• Strong foundation in data structures and algorithms, with excellent coding standards and practices.
• Proficient in HTML, CSS, and JavaScript, familiar with at least two frontend frameworks and highly proficient in at least one, such as Vue, React, Angular, Flutter, or similar technologies.
• Strong expertise in mobile web development and familiarity with web-based cross-platform technologies such as React Native.
• Familiar with Node.js or at least one other backend programming language, with a solid understanding of backend architecture and API design requirements.
• Passionate about technology, highly motivated, and capable of analyzing and solving complex technical problems.
• Strong teamwork and communication skills, with the ability to collaborate effectively in a dynamic and fast-paced environment.
• Minimum 3 years of experience serving as a Frontend Director or in an equivalent senior frontend leadership position.

Responsibilities

• Responsible for the research and development of machine learning and deep learning algorithms, including but not limited to model design and optimization for speech, NLP, CV, and related applications.
• Participate in the training, fine-tuning, and inference optimization of Large Language Models (LLMs) or multimodal foundation models, and drive the practical deployment of large model applications.
• Participate in the development and optimization of foundational algorithm capabilities for large model applications, including but not limited to RAG, Knowledge Graph, NL2SQL, and multimodal representation.
• Keep up with the latest research in the large model field and possess the ability to explore and experiment with new technologies.

Requirements

• Master's degree or above in Computer Science, Electrical Engineering, Automation, Mathematics, Artificial Intelligence, or related disciplines, with solid algorithm fundamentals and programming skills.
• Proficient in common machine learning and deep learning algorithms, such as classification, Named Entity Recognition (NER), and clustering.
• Familiar with common deep learning model architectures (e.g. Transformer, Diffusion) and their optimization methods.
• Familiar with mainstream large model architectures (e.g. GLM, BERT, LLaMA) and their training, fine-tuning, and inference workflows. Candidates with hands-on experience in large model training or deployment are preferred.
• Familiar with deep learning frameworks such as PyTorch and TensorFlow.
• Strong coding skills, familiar with Linux, proficient in Python or C/C++, with excellent coding and code management abilities, and a solid foundation in data structures and algorithms.
• Strong sense of responsibility and teamwork, clear logical thinking, good communication skills, and strong technical learning ability.
• Preferred Qualifications: Publications in top NLP/CV conferences or high-impact open-source projects, outstanding achievements in top-tier competitions, or internship experience related to AI Agents.

Responsibilities

• Responsible for the optimization and innovation of AI algorithms, keeping up with the latest advancements in artificial intelligence and deep learning algorithms.
• Responsible for the design, development, and validation of deep learning models, continuously iterating and optimizing algorithm models.
• Responsible for model training, migration, and deployment, including but not limited to quantization, distillation, pruning, and fine-tuning.
• Responsible for researching cutting-edge AI technologies and introducing them based on project and product requirements.
• Responsible for technical research and productization of company projects, as well as AI-related intellectual property applications.

Requirements

• Master's degree or above in Computer Science, Mathematics, or related disciplines.
• Experience applying deep learning to solve real-world problems and optimizing models is preferred.
• Internship or project experience in areas including but not limited to NLP, data mining, knowledge graphs, machine learning, deep learning, pattern recognition, and computer vision.
• Solid foundation in machine learning and deep learning, with proficiency in major machine learning frameworks such as PyTorch, TensorFlow, OpenCV, and Caffe.
• Strong communication skills, fast learning ability, and independent thinking skills.
• Possess technical writing skills and be able to independently prepare technical research reports and technical publications.

Responsibilities

• Responsible for large language model pre-training, fine-tuning, reinforcement learning, and performance optimization, improving the model's logical reasoning capabilities through data iteration.
• Optimize large language model inference service deployment and throughput performance, and support cross-functional teams in deploying inference services.
• Track industry-leading technologies, optimize generation solutions, evaluate inference performance, and enhance vertical domain application capabilities.
• Design and develop data tool solutions for the large language model software stack, and drive implementation across industry customer scenarios.
• Coordinate external requirements, conduct technical exchanges, design customized model solutions, and prepare technical documentation and patents.

Requirements

• Ph.D. degree, familiar with large language models, multimodal model architectures, and fundamental algorithms, with proficiency in Python and the PyTorch framework.
• Familiar with server usage, containerized deployment, Linux operations, and parallel computing, with knowledge of CUDA and multi-process/multi-thread programming.
• Proficient in distributed parallel strategies for large language models, including tensor parallelism, pipeline parallelism, and expert parallelism.
• Proficient in inference frameworks such as vLLM and SGLang, with framework optimization capabilities.
• Familiar with C++, Cutlass, and Triton, with operator performance optimization capabilities.

Responsibilities

• Explore online application solutions for large language models such as AIGC and LLMs, support the large-scale deployment of AI models, and enable intelligent business implementation.
• Participate in the architecture design of AI model-based business systems, establish R&D and operation methodologies for large model applications, and formulate algorithm engineering standards.
• Build the service infrastructure for large language models, addressing challenges in service delivery, runtime performance, stability, and scalability.
• Develop algorithm tool platforms to support AI model development, training, and deployment, improving delivery efficiency and quality.

Requirements

• Strong communication, collaboration, and learning abilities; willing to explore new technologies and open to expanding beyond existing technical stacks.
• Proficient in one or more programming languages such as C, C++, Java, or Python, with good coding practices.
• Familiar with computer fundamentals, computer networks, and data structures.
• Experience in distributed system design and operations, with knowledge of common open-source middleware.
• Experience independently delivering business requirements and familiarity with online service operation and maintenance tools and standards.

Responsibilities

• AI Tool Application: Develop a deep understanding of and proficiency in leading AI tools such as ChatGPT, Doubao, and Sider. Evaluate their potential applications within the company and drive the adoption and implementation of relevant tools.
• Data Analysis Support: Leverage AI technologies to analyze internal company data, provide data-driven decision support, optimize business processes, and improve operational efficiency.
• Process Automation: Identify repetitive tasks in daily operations, design and implement automation solutions, reduce manual work, and improve overall work efficiency.
• Training and Support: Provide training on AI tools to team members, enhance overall technical capabilities, and assist in resolving issues encountered during usage.

Requirements

• Educational Background: Bachelor’s degree or above in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Work Experience: At least 2 years of experience in AI-related fields, with hands-on experience using mainstream AI tools and platforms.
• Technical Skills: Practical experience in data analysis, machine learning, natural language processing, and related areas.
• Problem-Solving Skills: Ability to identify and analyze issues within business processes and propose AI-driven solutions.
• Communication Skills: Strong communication and teamwork skills, with the ability to clearly explain complex technical concepts to non-technical team members.
• Learning Ability: Strong awareness of emerging technologies, with the ability to quickly learn and apply new knowledge.
• Fluent in both Chinese and English.

Responsibilities

• Feature development and iteration: use the Cocos Creator engine to design, code, and deliver game logic, UI, interactive effects, and core modules for version updates.
• Performance and quality: tune client performance (rendering, memory, and frame rate), adapt the game to multiple devices, fix bugs, and refactor code so the client runs stably and smoothly.
• Cross-platform release and integration.
• Technical collaboration: work closely with planning, art, and server teams, join technical reviews, and solve problems in rendering, network sync, and architecture.
• Tools and architecture: help build editor extensions, shared component libraries, and the project architecture.

Requirements

• 5+ years of development experience, including at least 3 years in the game industry.
• Able to design and architect a game client end to end.
• Familiar with asset, memory, and performance optimization. Experience with hot updates and version management is preferred.
• Familiar with code encryption and security, with experience handling cross-platform and cross-browser compatibility.
• Proficient in mainstream engines such as Cocos Creator and Cocos2d-x.
• Able to publish Cocos Creator projects to H5, Android, and iOS.
• Hardworking, responsible, professional, and a strong communicator.

Responsibilities

• Plan application, technical, and data architecture for core systems, set an evolvable technology roadmap, and lead the move to microservices.
• Model the business domain, lead architecture refactoring, technology selection, and core component design, and solve high concurrency, large data volume, availability, and consistency problems.
• Build an engineering-effectiveness system across requirements, development, testing, and release. Drive CI/CD, automated testing, quality gates, and AI-assisted development tooling.
• Establish observability, SLI/SLO, capacity management, incident response, and post-incident review, and keep improving performance, stability, and scalability.
• Work with product, functional consultants, data, and the business. Run technical reviews, coordinate resources, and close architecture work end to end.
• Build and coach the core engineering bench, publish technical standards, and represent the team across the group.

Requirements

• Full-time bachelor’s degree or above. Computer science, software engineering, information management, or artificial intelligence is preferred.
• 10+ years of development, 5+ years of architecture, and 3+ years as a technical lead or people manager, with a completed case of building or largely rebuilding a large enterprise system.
• Expert in Java, JVM, multithreading, and distributed systems. Strong in caching, message queues, RPC, and mainstream relational databases. Familiar with DDD, cloud native, and microservices.
• Expert in agent internals: tool use, ReAct and similar reasoning, RAG, memory, evaluation, and observability. Familiar with mainstream agent frameworks, with production experience taking an agent application from zero to one and platformizing it.
• Understands model limits and inference, can judge where agent technology is heading, and can turn that into a roadmap the company can execute.
• Understands the business and the product, makes technical decisions from business value, and can weigh cost against return.
• Able to evangelize technology across teams through architecture reviews, training, and shared building.