HKSTP announces the launch of the Student Internship Programme (SIP) 2026, which has been open for applications since mid-May 2026.-SIP 2026 is designed to equip students with essential skillsets, industry exposure, and professional networks, supporting their transition into the innovation and technology (I&amp;T) sector upon graduation. The programme also enables companies to engage early with emerging talent and contribute to workforce development.-Eligible HKSTP partner companies can receive funding support to employ qualified student interns, providing students with meaningful, hands-on experience in real-world business environments.-*Please note that funding support is allocated on a&nbsp;first-come, first-served basis.-For further details, please feel free to contact TecONE at 2629 2383 or sip@hkstp.org.

HKSTP Student Internship Programme 2026

Blooming with AI: HKSTP Summer Talent Fest 2026 cum Kick-off Ceremony for "AI for All" Inclusive Programme-Event Details:&nbsp;Date: 14 July 2026 (Tuesday) Time: 10:00 AM &ndash; 1:30 PM&nbsp; (Register at 10:00 AM) Venue: 1/F -2/F, Building 10W, Hong Kong Science Park, Shatin (The Golden Egg)-Event Rundown:&nbsp;10:00 AI+ Tech Showcase (Try the Tech Live - Experience groundbreaking AI straight from HKSTP park companies)11:00 Welcome Remarks &amp; Keynote Address | "AI for All" Inclusive Programme Kick-off11:30 The AI Leadership Forum (Real Strategies - Learn from industry leaders to navigate the dynamic I&amp;T landscape)12:00 Meet &amp; Spark (Unlock Your Next Milestones - Connect with founders and talents in a relaxing setting to land your next gig)-SIGN UP NOWIndustry Leaders, Founders, and Innovators Registration Link: <a href="https://2vx.io/Xci40uc" target="_blank" rel="noopener">https://2vx.io/Xci40uc</a>Students, Interns and Professionals Registration Link: <a href="https://2vx.io/DeGV7ct">https://2vx.io/DeGV7ct</a>

Blooming with AI: HKSTP Summer Talent Fest 2026

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

Core: B2B Product (60%)<ul><li data-zone-id="0" data-line-index="1" data-line="true">Own the BACH product roadmap</li><li data-zone-id="0" data-line-index="2" data-line="true">Design enterprise product solutions for e-commerce content production, TVC advertising, and brand content creation</li><li data-zone-id="0" data-line-index="3" data-line="true">Define API specifications, billing models, SLA standards, and SDK design for seamless enterprise integration</li><li data-zone-id="0" data-line-index="4" data-line="true">Establish B2B product metrics: API call volume, customer retention, generation success rate, NPS, etc.</li></ul>Agent (25%)<ul><li data-zone-id="0" data-line-index="7" data-line="true">Plan the BACH Agent workflow product: from single generation to multi-shot orchestration to end-to-end automated video production</li><li data-zone-id="0" data-line-index="8" data-line="true">Design Agent task decomposition, tool calling, and workflow orchestration mechanisms</li><li data-zone-id="0" data-line-index="9" data-line="true">Define how Agents collaborate with the video generation engine: prompt optimization, shot planning, audio-video sync, post-editing</li></ul>Consumer Product (15%)<ul><li data-zone-id="0" data-line-index="12" data-line="true">Contribute to bach.art creator studio: onboarding, prompt templates, creation tools</li><li data-zone-id="0" data-line-index="13" data-line="true">Analyze user behavior data (download rate, regeneration rate, feature usage) to drive product iterations</li><li data-zone-id="0" data-line-index="14" data-line="true">Assist in creator growth strategy and community operations </li></ul>Requirements<ul><li data-zone-id="0" data-line-index="1" data-line="true">Bachelor's degree or above, 3~5 years as a Product Manager</li><li data-zone-id="0" data-line-index="1" data-line="true">B2B / API / SaaS / platform product experience; understanding of enterprise integration needs and decision chains</li><li data-zone-id="0" data-line-index="3" data-line="true">Basic understanding of AI video generation: Diffusion Models, DiT, I2V, T2V capability boundaries</li><li data-zone-id="0" data-line-index="4" data-line="true">Strong product abstraction and structured thinking; ability to package complex AI capabilities into clear, usable products</li><li data-zone-id="0" data-line-index="5" data-line="true">Effective collaboration with algorithm and engineering teams; able to translate technical constraints into product decisions</li><li data-zone-id="0" data-line-index="6" data-line="true">Working proficiency in English; we are an international team (Lark as primary collaboration tool)</li></ul>Nice to Have<ul><li data-zone-id="0" data-line-index="9" data-line="true">Product experience in video generation, video editing, or content creation tools (Runway / Kling / Pika / CapCut competitor experience preferred)</li><li data-zone-id="0" data-line-index="10" data-line="true">Agent / workflow / LLM application product experience; understanding of task orchestration, tool calling, memory mechanisms</li><li data-zone-id="0" data-line-index="11" data-line="true">Experience building an API product from 0 to 1 with commercial validation</li><li data-zone-id="0" data-line-index="12" data-line="true">Power user of AIGC / AI video products with deep experience across mainstream tools</li><li data-zone-id="0" data-line-index="13" data-line="true">E-commerce or advertising industry background; understanding of TVC / e-commerce content / brand production pipeline</li><li data-zone-id="0" data-line-index="14" data-line="true">International product experience; understanding of localization needs for global products</li></ul>

Product Manager

Job Responsibilities<ul><li>Lead the deep integration of large language models (LLMs) with Web3 search scenarios, and optimize users’ natural language interaction experience, including intent recognition, multi-turn dialogue, and accurate question-and-answer functions. </li><li>Take charge of core R&amp;D for LLM technologies, including but not limited to Supervised Fine-Tuning (SFT), Prompt Engineering, Retrieval-Augmented Generation (RAG), vector search optimization, and multimodal information fusion (text + on-chain data). </li><li>Optimize domain adaptability of LLMs tailored to Web3 characteristics, such as industry jargon, on-chain data structures and multilingual scenarios. Build exclusive Web3 knowledge bases and glossaries to improve search recall rate and QA accuracy. </li><li>Be responsible for performance optimization, cost control and stability assurance of LLM services. Resolve engineering challenges including inference latency, context window constraints and consistency of multi-turn conversations. </li><li>Keep track of cutting-edge LLM advancements (open-source model iterations, multimodal LLMs, Agent technology, etc.), conduct technical innovation and practical verification customized for Web3 search use cases. </li><li>Deploy LLMs on on-premise server hardware and realize dynamic scaling of computing resources. </li><li>Build up the LLM technical team, and promote technical accumulation and standardized process formulation.</li></ul>Job Requirements<ul><li>Full-time bachelor’s degree or above in Computer Science and related majors, with AI, Machine Learning, Deep Learning or similar specializations preferred. Minimum 3 years of hands-on R&amp;D experience with large language models (LLMs); candidates with proven experience delivering search engines, intelligent Q&amp;A systems or Retrieval-Augmented Generation (RAG) pipelines to production are preferred. </li><li>Master core LLM technical stacks; proficient in fine-tuning, deployment and optimization of at least one mainstream LLM (GPT series, Llama series, Qwen, etc.). Prior experience with large-scale pre-trained models is a plus.</li></ul>

Large Language Model (LLM) Specialist

About the RoleWe are seeking an experienced AI Engineer 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 (</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>Solid 2+ years focused on LLM applications or chatbot development (Candidates with more experience will be considered for a senior role.)</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, LangChain 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 LLM workflow tracing and observability frameworks (MLflow, Phoenix, Langfuse, 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>Excellent Chinese reading skill</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>Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with: - The role you're applying for - Your availability - Expected salary We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only.

AI Engineer

-Assist in project planning and execution, including budget tracking, timeline management, and resource allocation to ensure milestones are met. -Support prototype and system design by utilizing specialized tools and software to create layouts, drafts, and technical optimizations. -Participate in site visits and field inspections to monitor project progress, coordinate with vendors, and assist with hands-on troubleshooting. -Collaborate with cross-functional teams to document project outcomes, streamline workflows, and prepare progress reports for stakeholders. -Engage in project meetings and brainstorming sessions to contribute fresh ideas, solve logistical challenges, and improve project efficiency. The applicant must be available to work full-time for at least two full months continuously between July and December 2026. Please indicate in your cover letter the months you can work continuously on a full-time basis. Applications without this information will not be considered.

Full-time Intern

Job titleRobotics Engineer (Electronic and Mechatronic) Company: NOVADYNAMIX TECH LIMITEDEmployment Type: Full-Time About NOVADYNAMIX TECH LIMITEDAt NOVADYNAMIX TECH LIMITED, we are pushing the boundaries of what is possible in automation and robotics. We are a forward-thinking technology company currently developing a cutting-edge robotic system. We are looking for passionate innovators to join our dynamic team and help bring our vision to life. Position OverviewWe are seeking a highly skilled and versatile Robotics Engineer (Electronic and Mechatronic) to play a critical role in the hardware development of our flagship robot. In this role, you will bridge the gap between electrical design and mechanical execution. You will be responsible for the end-to-end design, prototyping, integration, and testing of the robotic systems, ensuring seamless communication between sensors, actuators, and the core processing units. Key Responsibilities<ul><li aria-level="1">System Design &amp; Integration: Design and integrate complex mechatronic systems, including motor controllers, power management systems, and sensor arrays.</li><li aria-level="1">PCB &amp; Circuit Design: Schematic capture and PCB layout for custom electronic boards used in motor control, signal routing, and computing.</li><li aria-level="1">Prototyping &amp; Testing: Build, test, and troubleshoot hardware prototypes. Conduct rigorous performance, reliability, and safety testing on electronic and mechanical components.</li><li aria-level="1">Actuation &amp; Sensing: Select, implement, and calibrate motors, servos, encoders, IMUs, LiDAR, or vision systems appropriate for the robot's functional requirements.</li></ul><ul><li aria-level="1">Documentation: Maintain comprehensive engineering documentation, including Bill of Materials (BOM), wiring diagrams, and testing protocols.</li></ul> Requirements<ul><li aria-level="1">Education: Bachelor’s or Master’s degree in Mechatronics, Electronics Engineering, Robotics, or a related technical discipline.</li><li aria-level="1">Hardware Expertise: Proven experience in designing mixed-signal circuits, PCB layout (using tools like Altium, KiCad, or Eagle), and embedded hardware.</li><li aria-level="1">Mechatronics Proficiency: Strong understanding of kinematics, motor control theory (BLDC, stepper, servo motors), and actuator selection.</li><li aria-level="1">Embedded Systems: Experience working with microcontrollers (e.g., STM32, ARM Cortex) and communication protocols (I2C, SPI, UART, CAN bus).</li><li aria-level="1">Prototyping Skills: Hands-on experience with lab equipment (oscilloscopes, multimeters, logic analyzers) and rapid prototyping tools (3D printing, basic machining).</li><li aria-level="1">Problem-Solving: Excellent analytical skills with the ability to debug complex hardware-software integration issues.</li></ul> Bonus Qualifications:<ul><li aria-level="1">Familiarity with the Robot Operating System (ROS / ROS2).</li><li aria-level="1">Experience with firmware development in C/C++.</li><li aria-level="1">Prior experience successfully bringing a hardware product from concept to manufacturing.</li></ul> What We Offer<ul><li aria-level="1">Competitive salary and performance-based bonuses.</li><li aria-level="1">Comprehensive medical and dental insurance.</li><li aria-level="1">Flexible working hours and a collaborative, innovative startup environment.</li><li aria-level="1">Opportunities for rapid career growth and hands-on experience with cutting-edge technologies.</li></ul> How to ApplyReady to build the future of robotics with us? Please send your resume, a brief cover letter, and a portfolio showcasing your past electronic/mechatronic projects to us with the subject line: "Application: Robotics Engineer - [Your Name]".

Robotics Engineer (Electronic and Mechatronic)

<p aria-level="3" data-animation-nesting="" data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-processed="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 20px; font-weight: 600; margin: 24px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Job Overview:<p data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBhAA" data-complete="true" data-processed="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 12px 0px 16px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">We are seeking a highly sophisticated Senior Research Engineer to lead the validation, testing, and dependability engineering of our advanced automated AI platform. This role focuses on structural software verification, safety ontology modeling, and non-destructive testing (NDT) radiography analysis. You will develop deterministic verification frameworks and stress-test machine learning architectures to ensure the safety, compliance, and structural reliability of automated diagnostic platforms maintaining critical grid assets. Key Responsibilities:<ul><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAC" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Architecture &amp; Ingestion: Research and design the automated platform testing architecture for multi-modal X-ray radiography dataset ingestion and data-quality vetting.</li><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAF" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Data Auditing &amp; Security: Develop data-auditing feature extraction models to isolate sample bias, label contradictions, and data-poisoning anomalies within the training and testing datasets.</li><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAI" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Accuracy Evaluation: Evaluate AI pattern recognition accuracy thresholds when third-party image processors attempt to detect hidden cracks under heavy metallic noise or low-contrast backgrounds.</li><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAL" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Adversarial Stress Testing: Develop adversarial injection stress-testing methods (e.g., FGSM, DeepFool) to intentionally probe, disrupt, and profile the operational failure boundaries of inspection models.</li><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAO" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Topology Analysis: Analyze third-party neural network layer topologies, tracing node activation feedback and checking neuron boundary coverage to audit model stability.</li><li data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-hveid="CAAIBxAR" data-complete="true" data-sae="" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px 0px 12px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Compliance &amp; Ontology: Develop formal safety ontology logic models and deterministic, code-based verification rules to automatically judge whether an image processor meets industrial compliance.</li><li><span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">System Integration: Perform comprehensive platform integration, system reliability tuning, and modification of multi-format automated reporting code (PDF/Word output matching GJB 11592 equivalents). Job Requirements: <span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Education: Doctoral degree (PhD) in Systems Engineering and/or advanced degrees in engineering from a world-class technical institution. <span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"><strong data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 700; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Core Research Foundation: Robust research background in neural networks, artificial intelligence systems, graph representation learning, failure mechanism analytics, and safety ontology modeling. Remuneration Package: Ba<span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">se Salary: 40,000 HKD per month,<span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Housing Allowance: 10,000 HKD per month b<span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">onuses: Annual Bonuses <span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">,Medical Benefits: Comprehensive medical and dental insurance coverage. <span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);">Retirement: Statutory MPF contributions.<span data-sfc-cp="" data-sfc-root="ep" data-sfc-cb="" data-complete="true" data-copy-service-computed-style="font-family: Google Sans, Arial, sans-serif; font-size: 16px; font-weight: 400; margin: 0px; text-decoration: none; border-bottom: 0px rgb(10, 10, 10);"> Leave: Paid annual leave alongside regular HKSAR public holiday.</li></ul>

Researcher

Responsible for building the core pipeline of the A2A Network multi-agent system — from agent registration and tool mounting to state machine orchestration. You will be the architect of the entire incubation network's backbone.Tech Stack: Python · LLM / Prompt Engineering · OpenClaw / LangChain · State Machines · API Integration Core Responsibilities→ Multi-Agent Architecture Design (Core Orchestration): Build the distributed agent orchestration framework, including a highly scalable agent registry, system prompt cluster management, and task boundary definition.→ State Machine &amp; Flow Control Engine: Design and maintain an event-driven state machine enabling automated, non-linear project transitions across Generative, Adversarial, and Evaluation nodes.→ Tooling &amp; Function Calling Engineering: Package specialized tools — deep web search, logical consistency checking, financial metrics modeling — and enable precise agent access to external knowledge and computational capabilities via Function Calling.→ Structured Protocol Communication: Define the Structured JSON interaction protocol for inter-agent communication; implement fine-grained context management and long/short-term memory (buffer management) pruning to ensure information fidelity across complex pipelines.→ System Stability &amp; Circuit Breaking: Build production-grade token consumption tracking and infinite-loop circuit breakers, ensuring the system can self-correct and control costs when handling edge cases.

AI Agent Engineer

<ul><li>Identify and evaluate high-impact AI opportunitieswithin the educational sector, aligning AI strategy with client business goals and defining transformation roadmaps.</li><li>Formulate comprehensive AI product solutions, delivering rapid prototypes, proof-of-concepts (PoCs), and detailed requirement specifications to demonstrate concrete business value.</li><li>Act as the primary bridge between client stakeholders and technical development teams, translating complex AI/ML requirements into actionable delivery backlogs.</li><li>Drive change management and client adoptionby conducting workshops, gathering user feedback, and continuously reviewing product metrics to optimize performance and ensure measurable ROI.</li></ul>Requirements:<ol><li>Proven experience in AI product consulting or management, with a deep understanding of generative AI architectures, agentic workflows, and the practical feasibility of LLM deployments.</li><li>Strong speculative and analytical thinking, with a demonstrated track record of defining client problems and designing bespoke AI solutions from initial discovery to pilot implementation.</li><li>Excellent presentation and stakeholder management skills, with the ability to "demystify" AI for non-technical clients while maintaining credible, technical dialogues with engineering.</li><li>Resilient and highly collaborative, with experience navigating cross-border consulting paces between Hong Kong and the Greater Bay Area (GBA).</li><li>Professional fluency in spoken and written English and Chinese(Cantonese and Mandarin); experience consulting on cross-border AI implementations or in the EdTech sector is highly advantageous.</li></ol>

AI Product Consultant

We are looking for a highly motivated R&amp;D Engineer to join our R&amp;D team. The successful candidate will research on event‑based computer vision, spiking neural networks (SNNs) and edge‑AI algorithms for analysing human motion patterns and mobility risk using DVS sensors.Key ResponsibilitiesResearch on event‑based data representations and preprocessing pipelines for elderly motion, micro‑gesture and gait quality analysis using DVS cameras. Develop the spiking‑transformer / SNN architectures for event‑based human action recognition, including spike‑attention mechanisms and temporal‑hierarchical structures, and validate them on public and in‑house datasets. Research on edge‑AI implementation of event‑based models on embedded platforms, including profiling and improving energy, latency and memory behaviour. Conduct systematic experiments, ablation studies and error analysis;-Solid knowledge of machine learning / deep learning, with hands‑on experience in at least one major framework (e.g. PyTorch or TensorFlow).-Strong programming skills in Python and familiarity with Linux development environments.-Demonstrated experience in at least one of the following areas:-computer vision or human action recognition;-time‑series / sequence modelling;-embedded / edge‑AI deployment;-neuromorphic computing, spiking neural networks, or event‑based cameras (a plus, but not strictly required). Employment Terms: $21,000 - $25,000 per month, Mon to Fri: 9:00AM-6:00PM, 5 working days perweekEntry Requirements:-Bachelor’s degree or above in Engineering, Computer Science, Electronics, Robotics, Artificial Intelligence, or other STEM‑related disciplines.-Solid knowledge of machine learning / deep learning, with hands‑on experience in at least one major framework (e.g. PyTorch or TensorFlow).-Strong programming skills in Python and familiarity with Linux development environments.-Demonstrated experience in at least one of the following areas:-computer vision or human action recognition;-time‑series / sequence modelling;-embedded / edge‑AI deployment;-neuromorphic computing, spiking neural networks, or event‑based cameras (a plus, but not strictly required).Good analytical, problem‑solving, and communication skills in English and Chinese. Self‑motivated and able to work independently as well as in a team.

Where Talent Meets Opportunity