Open Tracks · Category 5 school recruitment directions
Five types of positions, and a Cloud AI platform will be built together.
Recruitment focuses on transferable core competencies. Five types of talents jointly build a Cloud AI platform, and then apply their capabilities to vertical fields such as smart tourism, smart cities, and smart ecology.
Hong KongShenzhen
Cloud AI Platform Engineer
Cloud AI Platform Engineer
Build a cloud-native base that carries models, data, security, and industry applications.
you will participate
- Participate in the construction of Kubernetes, GPU scheduling, model gateway, storage network and observability platform
- Turn computing power, data, permissions, auditing and operation and maintenance into reusable platform capabilities
- Support the stable delivery of vertical field scenarios such as smart tourism, smart cities, and smart ecology.
Suitable for computer, software engineering, cloud computing, network, information security and other directions, paying attention to system foundation and engineering reliability.
Implemented business
model serviceComputing power platformSecurity operation and maintenance
Hong KongShenzhen
AI Application and Agent Engineer
AI Applications & Agent Engineer
Turn large model capabilities into executable, traceable, and collaborative intelligent workflows.
you will participate
- Develop enterprise-level AI assistant, RAG, Agent tool invocation and task orchestration capabilities
- Design evaluation, permissions, auditing and human-computer collaboration processes to make AI operations controllable and repeatable
- Split business processes such as scenic spot operations, urban governance, and ecological monitoring into executable intelligent actions
Suitable for engineering students in AI, software engineering, automation, information systems and projects.
Implemented business
Business Assistantprocess automationknowledge retrieval
Hong KongShenzhen
Data intelligence and industry modeling engineer
Data Intelligence & Industry Modeling Engineer
Transform Hong Kong/Greater Bay Area industrial issues into a calculable, analyzable, and sustainably optimized data system.
you will participate
- Build data pipelines, knowledge bases, vector indexes, indicator systems and model evaluation methods
- Process documents, logs, sensors, business forms and model feedback closed loops
- Abstract cultural tourism services, urban operations, ecological protection and other industry rules and event analysis models
Suitable for cross-cutting backgrounds such as data science, statistics, computers, AI, operations research and optimization, financial engineering, bioinformatics, environment or logistics engineering.
Implemented business
Industry indicatorsPredictive analyticsdata governance
Hong KongShenzhen
Cloud AI product full stack engineer
Cloud AI Product Full-stack Engineer
Make the cloud platform and AI capabilities into products that users are really willing to open every day.
you will participate
- Responsible for the front-end development of AI workbench, cloud console, knowledge space and operation dashboard
- Deliver high-quality product experiences with React, Next.js, TypeScript, and backend APIs
- Participate in demand disassembly, interface design, front-end and back-end joint debugging, online verification and user feedback closed loop
Suitable for front-end, full-stack, interactive engineering, software engineering and other directions, paying attention to the integrity of the work, code quality and product judgment.
Implemented business
Industry workbenchOperations KanbanCustomer Portal
Hong KongShenzhen
Cloud AI product and solution management trainee
Cloud AI Product & Solutions Management Trainee
Connect the business scenarios of Hong Kong and the Greater Bay Area, and transform technical capabilities into deliverable and acceptable solutions.
you will participate
- Investigate customer scenarios and sort out AI platform, agents, private cloud, data governance and compliance needs
- Participate in product plans, demonstration materials, bidding materials, delivery plans and project reviews
- Work with the engineering team to break down the business problem into a roadmap, functional boundaries and acceptance criteria
It is suitable for students with backgrounds in information management, computer science, business studies, financial technology, medical management, supply chain or engineering management, as well as students with strong expression and structuring abilities.
Implemented business
customer researchScheme designCross-domain delivery