Talent Foundry

EPIC 2025

Innovation Mixer

Opportunities for Overseas Talents

HYAB Youth Start-up Internship Programme (YSIP) 2025

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

Responsibilities:<ul><li>Analyze, design, program, and maintain IT systems or applications</li><li>Gather systems requirements from users</li><li>Analyze requests for enhancements / changes and write amendment / program specification</li><li>Develop test cases, conduct load test</li><li>Provide maintenance support by investigating and rectifying reported systems shortcomings</li></ul>Requirements:<ul><li>Degree in Computer Science / Information Technology or equivalent</li><li>Experience in Python or Java or .Net or PhP or javascript</li><li>Experience in Web Application Development will be advantage</li><li>Self-motivated, able to work independently and willing to learn</li><li>Must able to speak Cantonese</li></ul>

Software Engineer (Welcome fresh graduate)

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

Job Responsibilities<ul><li>Research and optimize laser SLAM algorithms for robots, including core modules such as mapping, localization, loop closure detection, and path planning.</li><li>Investigate multi-sensor fusion technologies (LiDAR, IMU, odometry, vision, etc.) to enhance algorithm robustness and accuracy in dynamic environments.</li><li>Optimize algorithm performance for complex indoor and outdoor scenarios (e.g., warehousing, industrial, service robots) and complete porting and deployment on embedded platforms.</li><li>Collaborate with the hardware team to perform sensor calibration, system integration, and on-site testing, resolving technical challenges in real-world applications.</li><li>Write algorithm design documents, test reports, and technical solutions to support product iteration and intellectual property applications.</li><li>Work with product and testing teams to drive the practical implementation of algorithms in robot navigation systems.</li></ul>Qualifications<ul><li>Master's degree or higher in Computer Science, Automation, Robotics, Electrical Engineering, or related fields.</li><li>3+ years of experience in laser SLAM algorithm development, with familiarity in mainstream frameworks like Cartographer, Gmapping, and LOAM.</li><li>Proficient in C++/Python programming, experienced with Linux/ROS development environments, and skilled in using libraries such as Eigen, PCL, Ceres, and g2o.</li><li>Strong foundation in mathematics (probability theory, linear algebra, graph optimization, etc.), capable of independently deriving SLAM-related mathematical models.</li><li>Familiar with the full robot navigation process (mapping, localization, path planning, obstacle avoidance). Experience in AGV, robotic vacuum, or autonomous driving fields is a plus.</li><li>Hands-on experience in multi-sensor calibration, point cloud processing, and real-time system optimization.</li></ul>

Navigation Algorithm Engineer

Mad Head Limited is a Hong Kong-based game studio famous for the global hit “Tower of Saviors” (神魔之塔). We create engaging gaming experiences for millions of players worldwide. Join Us in Creating Stunning Visual Effects for Tower of Saviors (神魔之塔)! We are looking for a talented developer to bring immersive visual effects to life. If you're passionate about gaming and thrive in a creative, collaborative environment, we want to hear from you! What you will be doing:<ul><li>Collaborate with artists and game designers to create VFX matching Tower of Saviors style.</li><li>Work with Artists and drive the visual look of VFX in Tower of Saviors.</li><li>Partner with developers to integrate VFX seamlessly into the game.</li><li>Work with Production by preparing VFX proposals for crossover projects.</li></ul>What you need for this position:<ul><li>Passion for gaming and a desire to create high-quality visual effects.</li><li>Ability to contribute to all stages of VFX development, from concepts to final asset.</li><li>Strong teamwork skills to collaborate effectively with artists and developers.</li><li>Excellent problem-solving skills and attention to detail.</li></ul>Knowledge &amp; skills<ul><li>2+ years of experience in game development or related field.</li><li>Experience with Unity Particle System for VFX development.</li><li>Strong skills in Photoshop or Blender for VFX creation.</li><li>Proficiency in programming, preferably C#.</li></ul><ul><li>Bonus: Experience with rigging, animation, or 3D modelling.</li></ul> Working Location &amp; Hours: Hong Kong Science Park 5-day work, 10:00 – 19:00 (Lunch hour 13:45 – 15:00) We Offer:<ul><li>5-day Work Week with Flexible Working Hours</li><li>Discretionary Performance Bonus</li><li>Medical Coverage (Annual Medical Check–up and Dental)</li><li>Overtime Meal and Transportation Subsidy</li><li>Birthday and Marriage Leave</li><li>Fun, Exciting and Creative Working Environment</li></ul>Remark<ul><li>Please apply with CV and portfolio (GitHub, ArtStation, personal website, etc.) for selection process</li><li>We are an equal opportunity employer and welcome applications from all qualified candidates. All information provided will be treated in strict confidence and used for recruitment purposes only</li></ul>

VFX Artist / Programmer

<ul><li>Bachelor, master or Ph.D. in Optics, Photonics, Applied Physics, Biology, Electrical Engineering, or a related field. Hands-on experience in developing or manufacturing lasers, gas optical sensors (especially multi-pass optical sensors) or optical particle sensors is highly preferred. We seek candidates with practical expertise in these areas to directly contribute to advancing our optical cavity innovations. Ideal experience includes: </li><li>Laser development/manufacturing: Proficiency in designing, aligning, and optimizing laser systems (e.g., dye, solid state or gas laser), including material design, beam shaping, cavity stabilization. </li><li>Gas optical sensors (with emphasis on multi-pass designs): Direct involvement in building or refining sensors for gas detection (e.g., CO2, VOCs, or trace gases), particularly multi-pass Herriott or White cells that amplify light-gas interaction paths for ultra-high sensitivity. Experience with calibration, noise reduction, and real-world deployment in environmental or industrial monitoring is a strong plus. </li><li>Optical particle sensors: Hands-on work with sensors for detecting airborne particulates or bioaerosols (e.g., mold spores, allergens, or pollutants), including laser-based scattering, UV fluorescence, or absorption techniques. Experience in sensor prototyping, integration into air purification devices, and achieving reliable sensitivity in low-concentration environments is a strong plus. *For bachelor's or master's degree holders: PhD opportunities to pursue advanced research in optics and photonics while gaining hands-on industry experience. </li></ul>

Optical Research Engineer - Laser & Optical Sensor Development

We invite enthusiastic students to be part of our winter internship program, running for five to eight weeks. Under the mentorship of seasoned professionals, interns will engage in cutting-edge research, data analysis, prototype testing, and collaborative projects, gaining invaluable hands-on experience in a fast-paced start-up environment. As a member of our dynamic team, you will contribute to groundbreaking solutions that drive sustainable change while developing key skills for your future career. Key Responsibilities:<ul><li>Support Research and Development:</li><ul><li>Assist in experiments and analysis of materials to optimize energy storage and renewable energy prototypes, including Thin-Film CdTe Solar Glass, under the close supervision of seasoned professionals.</li></ul><li>Contribute to Data Analysis:</li><ul><li>Work with specialized tools like AutoCAD and simulation software to support the team in analyzing experimental results and refining system designs.</li></ul><li>Aid in Testing and Optimization:</li><ul><li>Help test prototypes and assess performance, collaborating with experienced team members to troubleshoot and implement refinements.</li></ul><li>Collaborate and Learn:</li><ul><li>Document findings and actively participate in team discussions, gaining insights and contributing to the development of innovative green technologies.</li></ul></ul>Requirements <ul><li>Must be a Hong Kong permanent identity card holder, 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 the application submission.</li><li>Must be a full-time student enrolled in any discipline at a local or non-local post-secondary or tertiary institution, with preference given to programs related to Chemistry, Mechanical Engineering, Material Science, Green Technology, or similar fields.</li><li>Preferred strong communication skills in both Cantonese and English to collaborate effectively within our diverse team.</li><li>Proficiency in data analysis, simulation tools, AutoCAD, and Microsoft Office.</li></ul>

Full-Time Winter Intern

13-month pay

5-day week

Additional subsidies

Alternate saturday

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Dental plan

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Performance bonus

PRC holidays

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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

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