Talent Foundry

EPIC 2025

Innovation Mixer

Opportunities for Overseas Talents

HYAB Youth Start-up Internship Programme (YSIP) 2025

Job Responsibilities<ol><li>Market Research<ul><li>Gather and analyze market data, competitor information, and customer feedback.</li><li>Identify market trends and opportunities.</li></ul></li><li>Marketing Campaign Support<ul><li>Assist in planning and executing marketing campaigns across various channels (digital, social media, events, etc.).</li><li>Prepare marketing materials and content.</li></ul></li><li>Customer Engagement<ul><li>Support customer acquisition and retention initiatives.</li><li>Handle customer inquiries and provide product information.</li></ul></li><li>Sales Support<ul><li>Provide sales team with necessary marketing resources and support.</li><li>Track and report on marketing campaign performance.</li></ul></li><li>Brand Promotion<ul><li>Help maintain and enhance the company’s brand image.</li><li>Assist in organizing brand-related activities and events.</li></ul></li></ol>

Marketing Assistant（Internship）

Internship OverviewWe are offering internship positions for full-time students who are passionate about technology and innovation. As an Engineer Intern, you will work alongside our scientists and engineers to support and the development of new technologies and products, with a specific focus on advancing acoustic performance and mechanical integrity. This internship provides a unique opportunity to gain practical experience in a collaborative and forward-thinking R&amp;D setting.Working ArrangementsCandidates may apply for either Full-Time or Part-Time positions:1.Full-Time Internship<ul><li>Working Hours: 40 hours per week, Monday to Friday, 9:30 AM to 6:30 PM(including 1-hour lunch break). Salary: HK$8,500 - HK$12,000 per month.</li></ul>2.Part-Time Internship<ul><li>Working Hours: 20 to 38 hours per week (flexible scheduling withinweekdays). Salary: HK$60 - HK$80 per hour.</li></ul>Job Duty <ul><li>Assist scientists and engineers in conducting studies and experiments for new technologies and products.</li><li>Apply numerical simulation to solve challenges in acoustics and mechanics.</li><li>Support the R&amp;D teams in the development process, including prototyping, testing, and data analysis.</li><li>Collaborate with team members to troubleshoot and optimize research methodologies.</li></ul>Requirement - Must be a Hong Kong permanent identity card holder, or a Hong Kong identity card holder , or a holder of other valid travel documents and be legally permitted to work in Hong Kong.- Having reached the age of 18 at the time of application submission.- Must be a Full-Time student studying at any local or non-local post-secondary or tertiary institution in any discipline.- A strong foundation in mathematics and modelling is required to effectively perform numerical simulations and analyze acoustic and mechanical systems. How to apply ?Interested candidates are invited to submit their resume and a brief cover letter through our careers portal career@lumi.tech. Please indicate your preference for FULL-TIME or PART-TIME internship in your application.

Student Engineer Intern - Acoustic

Position OverviewWe are seeking a motivated Web Engineer / Assistant Web Engineer to join our dedicated research team. This role is pivotal in building and maintaining sophisticated web applications that make complex data accessible and actionable for the construction industry.You will be instrumental in developing our data-driven platforms, focusing on building scalable backend services with Node.js and dynamic, interactive user interfaces with React. The ideal candidate is a skilled problem-solver passionate about data, full-stack development, and creating solutions that have a real-world impact.Key Responsibilities<ul><li>Front-End Development: Design, develop, and maintain responsive, high-performance web applications using React and its ecosystem.</li><li>Back-End Development: Build and manage server-side logic, RESTful APIs, and microservices using Node.js (e.g., Express.js) to support front-end applications.</li><li>Database &amp; Data Management: Integrate applications with various data sources. Design, optimize, and execute complex queries, stored procedures, and views, primarily using SQL Server.</li><li>Data Collection: Assist in developing and implementing data collection pipelines and services that feed into our core applications.</li><li>Collaboration: Work closely with researchers, data scientists, and other team members to translate project requirements into robust and efficient technical solutions.</li><li>Prototyping &amp; Testing: Prototype, test, and deploy applications, iterating based on user feedback and performance metrics to ensure high-quality, reliable solutions.</li><li>Documentation: Document engineering processes, API specifications, and database schemas for internal knowledge sharing.</li></ul>Qualifications &amp; SkillsRequired:<ul><li>Bachelor’s degree in Computer Science, Web Development, or a related field (or equivalent practical experience).</li><li>Proven experience in front-end development using HTML, CSS, and JavaScript (ES6+).</li><li>Strong proficiency in React.js and its core principles (e.g., Hooks, Context API, component-based architecture).</li><li>Solid experience in backend development using Node.js and frameworks like Express.js.</li><li>Demonstrable knowledge of SQL Server or other relational databases, including writing complex queries and understanding database design.</li><li>Familiarity with version control systems, particularly Git.</li><li>Excellent problem-solving skills and meticulous attention to detail.</li></ul>Preferred (Nice-to-Have):<ul><li>Knowledge of data visualization libraries (e.g., D3.js, Chart.js) integrated with React.</li><li>Familiarity with TypeScript.</li><li>Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines.</li><li>Strong communication skills, with the ability to articulate technical concepts to diverse stakeholders.</li><li>A keen interest in research and building user-centric web solutions.</li></ul>

Web Engineer / Assistant Web Engineer

Are you thrilled about stepping into the dynamic world of marketing within the tech industry? GL.iNet is actively seeking passionate marketing interns to join our team and contribute to our ambitious goals. This internship offers a gateway to acquiring invaluable marketing skills and exploring diverse strategies in a supportive environment that nurtures your professional growth.Responsibilities:<ul><li>Conduct marketing research and analysis</li><li>Assist in setting up automated email journeys for different customer segments</li><li>Collaborate with the design team to optimize marketing materials</li><li>Brainstorm with the team to conduct meaningful A/B testing on various channels and platforms</li><li>Consolidate and analyze campaign performance data to create reports</li><li>Research potential partnership collaborations</li><li>Provide ad hoc support to the marketing team</li></ul>Benefits:<ul><li>Gain global exposure through our international operations</li><li>Opportunity to work on exciting product launches</li><li>Pitch your ideas directly to management for consideration</li><li>Receive trainings on networking devices and marketing techniques</li><li>Flexible working options: Full-time or part-time (Commit to work at least 20 hours/week and 6-month term). Hybrid working will be considered, providing flexibility to accommodate your needs.</li></ul>Skills &amp; Requirements<ul><li>Passion for marketing, especially within the tech sector</li><li>Excellent verbal and written communication skills in English</li><li>Currently enrolled in a Bachelor's or Master's degree program in a related field</li></ul>Join us at GL.iNet, where your ambition meets endless opportunities for growth and learning in the ever-evolving field of tech marketing. Let's shape the future together!

Digital Marketing Intern

About the RoleWe are seeking an experienced AI Researcher/ Engineer (LLM) to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM APIs and self-hosted open-source models, implementing RAG pipelines, and creating end-to-end LLM workflows. The ideal candidate combines practical experience integrating LLM APIs with technical expertise in deploying and optimizing local models.Key Responsibilities<ul><li>Design and implement high-throughput, low-latency serving architectures for LLM applications</li><li>Build and maintain RAG pipelines and end-to-end LLM workflows</li><li>Integrate and optimize commercial LLM APIs (OpenAI, Anthropic, Google, etc.) into production systems</li><li>Develop prompt engineering techniques and prompt management systems</li><li>Deploy and serve local open-source language models for specific use cases</li><li>Optimize local model inference performance through efficient serving frameworks</li><li>Fine-tune models to improve performance on domain-specific tasks (commercial or </li><li>Monitor and troubleshoot production LLM systems to ensure reliability</li><li>Research and experiment with emerging models and techniques to improve system capabilities</li><li>Document architectures, best practices, and technical decisions</li><li>Collaborate with engineering teams to integrate LLM capabilities into products</li><li>Communicate technical terms and recommendations to stakeholders</li><li>Build evaluation frameworks to measure model quality, latency, cost, and user satisfaction</li><li>Design intelligent routing and fallback strategies across multiple LLM providers</li><li>Scale LLM services to handle production workloads efficiently</li><li>Implement caching, batching, and request optimization strategies for both APIs and local models</li></ul>Required QualificationsExperience:<ul><li>2+ years of software engineering experience with 2+ years focused on LLM applications</li><li>Proven track record of building production LLM applications</li><li>Experience integrating and optimizing commercial LLM APIs</li><li>Hands-on experience deploying local models in production environments</li></ul>Technical Skills:<ul><li>Strong Python programming with emphasis on async/await patterns and production-quality code</li><li>Deep understanding of transformer architectures and LLM fundamentals</li><li>Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar)</li><li>Familiarity with local open-source models (Qwen, Llama, Mistral, or similar)</li><li>Experience with RAG implementation using LlamaIndex or similar frameworks</li><li>Proficiency with FastAPI for building high-performance APIs</li><li>Experience with vector databases (Pinecone, Weaviate, Chroma, Milvus, or similar)</li><li>Working knowledge of MongoDB or other NoSQL databases</li><li>Experience with Docker containerization and deployment</li><li>Good to have hands-on fine-tuning experience (LoRA, QLoRA, full fine-tuning)</li><li>Familiarity with local model serving frameworks (vLLM, TGI, or similar)</li><li>Familiarity with Hugging Face ecosystem and transformer libraries</li><li>Experience with cloud platforms (AWS, GCP, or Azure)</li><li>Proficiency with Git/GitHub and version control workflows</li></ul>Domain Knowledge:<ul><li>Understanding of prompt engineering and optimization techniques</li><li>Knowledge of LLM evaluation metrics and benchmarking methodologies</li><li>Experience with cost optimization for LLM applications</li><li>Familiarity with distributed computing and scaling strategies</li><li>Understanding of LLM inference optimization (quantization, batching, caching)</li></ul>Preferred Qualifications<ul><li>Understanding of digital human technologies and multimodal applications</li><li>Knowledge of MLOps practices and CI/CD for ML systems</li><li>Experience with Kubernetes for container orchestration</li><li>Experience with streaming inference and real-time applications</li><li>Background in function calling and tool use with LLMs</li><li>Familiarity with RLHF (Reinforcement Learning from Human Feedback)</li><li>Experience with model distillation and knowledge compression</li><li>Understanding of distributed training and GPU optimization</li><li>Experience with multi-agent systems and LLM orchestration</li></ul>Soft Skills &amp; Communication<ul><li>Excellent English communication skills (written and verbal)</li><li>Ability to explain complex technical concepts to both technical and non-technical audiences</li><li>Strong problem-solving and analytical thinking capabilities</li><li>Self-motivated with ability to work independently and drive projects to completion</li><li>Collaborative team player who thrives in fast-paced environments</li><li>Passion for staying current with rapidly evolving LLM technologies</li><li>Ability to balance research experimentation with production reliability requirements</li></ul>

AI Researcher/ Engineer (LLM)

Job Responsibilities<ol><li>Innovation &amp; Research: • Explore state-of-the-art technologies in AI-driven manufacturing and process optimization, focusing on automated workflow generation, optimization algorithms, and knowledge-based systems. • Lead the algorithm design and system architecture of the intelligent process generation system, covering process planning, scheduling optimization, and knowledge modeling. • Apply cutting-edge AI technologies—such as large language models, knowledge graphs, and multi-agent systems—to enable intelligent, data-driven manufacturing. • Participate in overall platform architecture design, bridging research innovation and engineering implementation through model validation, integration, and performance optimization.</li><li>Collaboration &amp; Implementation: • Collaborate with manufacturing clients and internal product teams to identify process bottlenecks and develop intelligent automation solutions. • Integrate R&amp;D outcomes into scalable, reusable frameworks for process generation and optimization. • Work cross-functionally with other modules (e.g., AI Assistant, Quotation, Auto-Paneling) to build an end-to-end intelligent production ecosystem. • Share research findings and foster a culture of innovation and technical excellence within the team.</li></ol>⸻Qualifications &amp; Preferred Skills<ol><li>Education &amp; Foundation: • Master’s, or PhD in Computer Science, Artificial Intelligence, Industrial Engineering, Automation, or a related field. • Solid foundation in algorithms, machine learning, and optimization, with interest in intelligent manufacturing systems.</li><li>Technical Expertise: • Proficiency in Python, C++, or Java, with hands-on experience in algorithm design and system development. • Familiarity with ML/DL frameworks (PyTorch, TensorFlow) and model training/inference workflows. • Knowledge of scheduling optimization, process planning, rule-based reasoning, knowledge graphs, or multi-agent systems is a plus. • Experience with Linux, Git, Docker, and API development preferred.</li><li>Mindset &amp; Competencies: • Passionate about applying AI technologies to real-world industrial challenges. • Strong problem-solving and innovation mindset, able to translate research concepts into deployable solutions. • Excellent communication and cross-functional collaboration skills, capable of working effectively across Hong Kong or remote teams.</li></ol>

R&D Engineer – Intelligent Process Generation System

<ol><li>模块化技术体系研发构建：牵头构建多场景可复用的建筑模块化底层技术体系，主导架构参数化设计、拆分算法研发及接口标准化攻关，搭建跨场景技术复用平台。 R&amp;D and Construction of Modular Technology System: Take the lead in building a reusable underlying technical system for modular buildings across multiple scenarios, oversee parametric architecture design, R&amp;D of splitting algorithms and technical breakthroughs in interface standardization, and establish a cross-scenario technology reuse platform. </li><li>前沿技术创新与转化落地：开展模块化领域新材料、新工艺、新结构原创研发，通过仿真模拟等科技手段优化成本性能，推动技术专利化与产业化转化。 Cutting-edge Technology Innovation and Transformation: Conduct original R&amp;D of new materials, new processes and new structures in the modular field, optimize cost and performance through scientific and technological means such as simulation, and promote the patenting and industrialization of technological achievements. </li><li>定制化技术方案迭代优化：基于客户与场景数据，融合数字化技术研发定制化模块组合方案，搭建迭代数据库与 AI 优化系统，持续提升适配性。 Iterative Optimization of Customized Technical Solutions: Based on customer and scenario data, integrate digital technologies to develop customized module combination schemes, build an iterative database and AI optimization system, and continuously improve adaptability. </li><li>BIM 数字化技术深度应用：主导 BIM 技术在模块化建筑全流程的深度研发应用，搭建数字化管理平台，实现全生命周期智能协同管控。 In-depth Application of BIM Digital Technology: Lead the in-depth R&amp;D and application of BIM technology throughout the entire process of modular buildings, establish a digital management platform, and realize intelligent collaborative control throughout the full life cycle. </li><li>技术创新生态与团队建设：跟踪全球前沿技术趋势，制定技术创新 roadmap，主导核心攻关项目，推进团队能力建设与创新生态构建。 Technology Innovation Ecosystem and Team Building: Track global cutting-edge technology trends, formulate a technology innovation roadmap, lead core research projects, and promote team capacity building and innovation ecosystem construction.</li></ol>

建筑模块化技术研发总监

What you'll be doing<ol><li>Design and develop complex AI models and algorithms to solve real-world problems</li><li>Implement and optimise AI systems, including machine learning, deep learning, and natural language processing</li><li>Develop, maintain and support AI related applications (e.g. Generative AI, RAG, agentic workflows, LLMs, and fine-tuning).</li><li>Continuously research and stay up-to-date with the latest AI trends, tools, and methodologies</li></ol>What we're looking for<ol><li>Degree in Computer Science, Artificial Intelligence, or a related technical field</li><li>Proven experience in developing AI/machine learning models and applications</li><li>Experience with AI/ML tools and frameworks.</li><li>Familiarity with prompt engineering, RAG, and LLMs.</li></ol>

AI Developer / Engineer

Requirements :Applicants should have (i) a Bachelor's or a Master's degree in Computer Science, Information Engineering, Electrical and Electronic Engineering, Systems Engineering, or a related technology discipline; (ii) sufficient programming skills in Flutter or other mobile application development framework, Python, and client-server programming. To-be-graduate, fresh graduates, or recent graduates are welcome to apply. Responsibilities:The appointee(s) will work under Professor Xixin Wu. Duties include (a) mobile application development; (b) learning (junior engineer), research, and development of speech processing, text-to-speech R&amp;D, and speech reconstruction; and (c) performing other tasks as assigned. Appointment will initially be made on a contract basis for one year, renewable subject to good performance and mutual agreement.

Research Engineer

13-month pay

5-day week

Additional subsidies

Alternate saturday

Childcare

Competitive pay

Dental plan

Discretionary bonus

Education subsidies

Flexible working hours

General holidays

Gratuity

Guaranteed bonus

Home office

Housing allowance

Insurance plan

Maternity leave

Meal allowance

Medical plan

Paid overtime

Paternity leave

Performance bonus

PRC holidays

Relocation Expenses

Shuttle bus

Social & recreation facility

Special / extra leave

Staff care centre

Statutory holidays

Stock option

Transportation allowance

Travel allowance

Year-end bonus

AI in Action Career Day 2025

Global Talent Ignite

HYAB Youth Start-up Internship Programme (YSIP)  2026

Below F.5

F.5 - F.7 or DSE

Diploma / Certificate

Associate Degree

Bachelor Degree

Master Degree

Doctorate or above

Not applicable

Full Time

Part Time

Permanent

Contract

Temporary

Freelance

Internship

Accounting / Audit / Taxation

Advertising / Marketing / Digital Marketing

Architecture / Quantity Survey

Automotive / Motor Vehicles

Banking

Beauty / Health Care / Sports / Fitness

Biotechnology / Chemicals / Testing / Laboratory

Building / Construction / Engineering

Business Services / Consulting Services

Charity / NGO / Non-Profit Org / Social Services

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Design

Education / Training

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Environmental Science

Financial Services / Investment / Securities

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Freight Forwarding / Logistics / Delivery / Warehousing

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Machinery / Automation Equipment

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Manufacturing - Toys / Gifts

Marine & Ship Building / Maintenance

Media

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Mixed Industry Group

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Credit

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Customer Relationship Management (CRM)

Customer Service / Ambassador

Customer Service / Guest Relations

Customer service / Sales Support

Customer Services

Database Administrator (DBA)

Dealing / Trading

Debt / Fixed Income

Derivatives / Equities

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Direct Sales

Doctor / Practitioner / Surgeon

Draftsman / CAD

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Engineering - Hardware

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Entertainers

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Executive Assistant / Receptionist / Secretary

Extraction & Mining

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Financial Analyst

Financial Controller

Food & Beverage

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Front Desk / Front Office

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