Talent Foundry

EPIC 2025

Innovation Mixer

Opportunities for Overseas Talents

HYAB Youth Start-up Internship Programme (YSIP) 2025

Job Description<ul><li>Conduct research on AI-based technology in the context of recommendation models</li><li>Create testing scripts to evaluate the performance of the models</li><li>Stay up to date to the latest development of AI recommendation technology</li></ul>Looking for<ul><li>Working or project experience with AI &amp; Machine Learning</li><li>Logical and high attention to detail</li><li>Quick learner and problem solver</li><li>Interested in working on cutting-edge technologies</li><li>Team player with good communication skill</li><li>Self-motivated and able to work independently</li><li>Degree* in Computer Science, Computer/Information/Electronic Engineering, or a relevant STEM field</li></ul>

AI Research Engineer

監控現場施工進度，執行項目協調工作，確保項目按時完成並符合品質標準；協調和聯繫各方，確保資源及時到位並有效利用；協助準備投標文件，包括繪圖，及進行相關程序的管理與執行；定期提交進度報告，向項目經理或管理層匯報 Monitor on-site construction progress, carry out project coordination tasks, and ensure projects are completed on time and meet quality standards; coordinate and liaise with all parties to ensure resources are delivered promptly and utilized effectively; assist in preparing tender documents, including drawings, and manage and execute related procedures; regularly submit progress reports and report to the project manager or management. 要求 Requirement持機電工程或相關學科的文憑 Diploma in Electrical and Mechanical Engineering or related discipline持有電燈A牌 Holder of Electrician License (Grade A)良好中文和英文 Good command of Chinese and English持有效建造安全訓練卡（綠卡）優先 Possession of a valid Construction Safety Training Certificate (Green Card) preferred持有效建築工地進入許可證，具備進入工地執行工作的資格優先 Possession of a valid Construction Site Entry Permit, with eligibility to carry out work on site preferred 技能 Skills熟悉投標文件的準備與執行流程，具備一定的商業談判能力 Familiar with the preparation and execution process of tender documents, with a certain level of business negotiation skills 具備出色的問題解決能力，能在壓力下高效工作 Strong problem-solving ability, able to work efficiently under pressure 擁有良好的溝通及協調技巧，能夠有效處理多方之間的合作關係 Excellent communication and coordination skills, capable of effectively managing collaboration among multiple parties 精通粵語，能以普通話和英語作簡單溝通 Proficient in Cantonese, with basic communication ability in Mandarin and English 熟悉繪圖軟件（如AutoCAD）及常用的辦公室軟件（如Microsoft Office）和工程管理工具 Skilled in design software (such as AutoCAD), common office applications (such as Microsoft Office), and engineering management tools

項目統籌員 Project Coordinator

The appointee will be required to:<ul><li>Design, develop and implement Computer Vision related software AI modules;</li><li>To work in an interdisciplinary team to produce software modules for automation.</li><li>To develop AI algorithms for pet health data, human-computer interaction tasks in automation and produce deliverables according to the workplan;</li><li>To be responsible for software platform maintenance and integration of work for team members</li></ul>Requirements:<ul><li>A bachelor’s degree or above in Computer Science or other related discipline;</li><li>1 or more years of relevant working experience in technology field</li><li>Prior experience in scripting and programming experiences in Python(2.x/3.x);</li><li>Track record of collaborating successfully with different engineering teams to deliver machine learning models </li></ul> <ul><li>WFH Policy</li><li>14-day Annual Leaves</li><li>Medical Benefits</li></ul>

AI Engineer

Job Description:-Design and develop AI large models for semiconductor manufacturing-Optimize and train AI large models-Integrate AI large models into semiconductor manufacturing processes-Track the latest advancements in the field of AI large models-Write technical documentation and reports-Closely Interact with Project Leader/Project Manager for task planning and estimation.-Participate in peer code review and provide useful feedback.-Position may include limited travel to customer sites. Position Requirements:-Bachelor's/Master's/Ph.D. degree in Artificial Intelligence or a related field, or equivalent experience;Bachelor's Degree: 5+ years of relevant experience; Master's Degree: No prior experience required.-Proficient in C/C++/Python programming. Experience with deep learning frameworks such as TensorFlow/PyTorch/MxNet is preferred;-Experience with AI compilers such as MLIR/TVM/XLA/LLVM is a plus;-Experience in large model inference acceleration is preferred;-Experience in Semiconductor or similar industry is preferred.

Artificial Intelligence Engineer

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)

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

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Where Talent Meets Opportunity