HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

Career Fair 2026: REIMAGINE AI+

Summer Internship 2026

Marketing for innovative platforms, project co-ordination

Marketing Executive

About the RoleTo meet our rapid growing clientele in the Greater Bay Area (GBA), we are seeking a driven team player with matching experience and qualification to join our Hong Kong office as Assistant Deployment Manager or Deployment Executive. Reporting to the Senior Deployment Manager, you will execute device installations and commissioning for customer projects. You will ensure proper project management, system setup, documentation, and support deployments requiring multi-disciplinary coordination across functional teams. Location: Hong KongWhat You Will DoProject Management<ul><li>Support complex project deployments requiring multi-disciplinary coordination and effective communication with stakeholders. </li><li>Attend client meetings on requirements and maintain responsive and effective communication to ensure successful project implementation. </li><li>Follow up on payment and administrative closure of projects.</li><li>Respond to project maintenance request as needed. </li><li>Manage project contract vendors to ensure quality delivery.</li></ul>System Provisioning and Design <ul><li>Site verifications and proposal development support. </li><li>Provisioning devices and input system configurations. </li><li>Method Statement and Site Readiness Assessment.</li></ul>Installation, Testing &amp; Commissioning<ul><li>Perform on-site visits and supervise / execute installation of IoT monitors, thermostats, integrators, and edge gateways.</li><li>Ensure zero rework required due to installation errors.</li></ul><ul><li>Support IoT devices flashing, testing, and troubleshooting.</li><li>Validate device readings and control functionality.</li><li>Report and document any device or system issues.</li></ul><ul><li>Commission deployed systems and validate proper operation.</li></ul>Documentation &amp; Training<ul><li>Generate installation, testing and commissioning documentation.</li><li>Perform training for installation guides and software.</li><li>Document project reviews and lessons learned.</li><li>Assist in the development and maintenance of SOPs. </li></ul>Required Skills<ul><li>Technical aptitude for IoT and building systems.</li><li>Hands-on skills with device installation and wiring.</li><li>Strong attention to detail and documentation skills.</li><li>Ability to work independently at customer sites.</li><li>Problem-solving skills for field troubleshooting.</li><li>Fluent in Cantonese, proficient in English and Mandarin.</li><li>Valid electrical license would be a plus.</li></ul>Qualifications<ul><li>Background in building management systems (BMS), HVAC, or electrical work.</li><li>Comfort working at customer sites with varying conditions.</li><li>Experience with basic networking and device configuration. </li><li>2+ years of experience in field of IoT devices deployment will be advantage.</li><li>Fresh graduates with relevant experience may also be considered for Deployment Executive.</li></ul>Ideal Candidate<ul><li>Hands-on technician who takes pride in quality installations.</li><li>Detail-oriented professional who documents work thoroughly.</li><li>Self-directed team members who works effectively at remote sites.</li><li>Reliable contributor who meets project deadlines and project budget.</li><li>Quick learner who adapts to new devices and procedures.</li></ul>Gaiamesh Ltd is committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds.How to Apply:Please submit your resume, a cover letter, and the contact information (name, title, email, and phone number) of at least one professional reference of a direct supervisor to the email: alina.hu@gaiamesh.com

Assistant Deployment Manager / Deployment Executive (HK)

Job Responsibilities:<ul data-path-to-node="11"><li>Assemble parts and components for sensor devices.</li><li>Perform soldering of wires and connectors.</li><li>Support basic functional testing and quality checking of assembled units.</li></ul>Requirements:<ul data-path-to-node="13"><li>Proven hands-on experience in electronic soldering is essential.</li><li>Experience in assembling small electronics or mechanical parts.</li><li>No specific academic qualification required (background in electronics/engineering is a plus).</li><li>Ability to follow simple technical instructions or assembly diagrams.</li><li>Detail-oriented and reliable, with the ability to handle repetitive tasks.</li></ul>工作內容：<ul data-path-to-node="5"><li>協助感測器設備的零件組裝與外殼裝配。</li><li>進行電子線路焊接（電線與連接器）。</li><li>協助簡單的功能測試及除錯。</li></ul>職位要求：<ul><li>具備基本的電子焊接經驗，手部靈活細心。</li><li>有組裝小型電子零件或手工藝經驗者優先。</li><li>學歷不拘（如有電子或相關工程學科基礎更佳）。</li><li>能閱讀簡單的零件圖表或組裝說明書。</li><li>細心、負責任，能完成重複性組裝工作。 Interested parties please submit your application to hr@simbury.com. </li></ul>

Freelance Technician

We are seeking a talented and motivated Mechanical Engineer to design, develop, and support semiconductor package equipment. The successful candidate will play a key role in the engineering team, collaborating with cross-functional groups to deliver high-performance, reliable, and cost-effective equipment for semiconductor packaging processes.Key Responsibilities<ul><li>Design mechanical structures and precision module for automation equipment used in semiconductor and electronic manufacturing.</li><li>Perform analyses (FEA, Force Analysis, Thermal Simulation Analysis, Vibration Simulation, Module Life Time Estimation, Material selection, etc.) to optimize product performance and reliability.</li><li>Create detailed engineering documentation, including 3D models, drawings, and BOMs using CAD tools (e.g., SolidWorks, AutoCAD).</li><li>Support prototype development, testing, and troubleshooting of new equipment designs.</li><li>Drive continuous improvement initiatives to enhance product quality and manufacturability.</li><li>Work closely with electrical, software, and process engineers to ensure seamless integration of mechanical solutions.</li><li>Participate in supplier selection and manage relationships with external vendors for critical components.</li><li>Ensure compliance with safety, environmental, and industry standards throughout the design and manufacturing process.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor’s or above in Mechanical Engineering or a related field.</li><li>2+ years of experience in mechanical design, preferably in semiconductor, electronics, or high-precision equipment industries.</li><li>Proficiency in 3D CAD software (SolidWorks, AutoCAD, or similar).</li><li>Experience with FEA, thermal analysis, and mechanical simulation tools.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Ability to work effectively both independently and as part of a multidisciplinary team.</li><li>Knowledge of semiconductor packaging or electronics manufacturing equipment is a plus.</li></ul>We Offer<ul><li>Competitive Compensation: Attractive base salary, uncapped performance-based bonuses, and long-term incentives including stock options.</li><li>Opportunities for professional growth and advancement.</li><li>Work with state-of-the-art technology in a dynamic industry.</li><li>Collaborative and inclusive work culture.</li><li>Paid statutory holidays, including marriage, maternity, and paternity leave; five days of paid annual leave after one year of service.</li><li>Quarterly, mid-year, and year-end rewards based on performance and work ability, with year-end bonuses ranging from zero to six months’ salary.</li><li>Short-term training provided for operating company equipment.</li></ul>

Mechanical Engineer (Fresh Graduate / IANG Holder Is Welcome)

Key Responsibilities： Develop and optimize microfluidic droplet systems, hydrogel microspheres, liposome nanoparticles, and related encapsulation systems. <ul><li>Characterize particle size, morphology, stability, encapsulation efficiency, loading capacity, and release behavior. </li><li>Conduct formulation optimization, stability testing, data analysis, and process troubleshooting. </li><li>Support scale-up from lab-scale preparation to pilot production. </li><li>Prepare experimental records, SOPs, technical reports, and formulation protocols. </li></ul>Work with interdisciplinary teams to support product development, patents, and commercialization. Qualifications： <ul><li>· Master’s degree or above in Chemical Engineering, Materials Science, Chemistry, Pharmaceutical Science, Biomedical Engineering, Cosmetic Science, Mechanical Engineering, Microfluidics, or related fields. </li><li>· Experience in microfluidics, droplet generation, hydrogel microspheres, liposomes, nanoparticles, microcapsules, emulsions, or controlled-release systems is preferred. </li><li>· Familiarity with microfluidic chip design, droplet control, fluid handling, or device scale-up is an advantage. </li><li>· Familiarity with alginate, agarose, gelatin, chitosan, hyaluronic acid, phospholipids, cholesterol, surfactants, or polymers is an advantage. </li><li>· Experience with DLS, zeta potential, microscopy, UV-Vis, HPLC, LC/MS, or encapsulation efficiency testing is preferred. </li><li>· Good experimental skills, data analysis ability, and technical reporting skills. </li><li>· Self-motivated, detail-oriented, and able to work independently in a start-up environment. </li><li>· Good written and spoken English; Chinese proficiency is an advantage.</li></ul>

Research Engineer

<ul><li>Core Responsibilities<ul><li>Requirement Gathering: Interface with frontline markets to capture and document business needs.</li><li>Functional Translation: Convert market insights into structured requirements for the technical team.</li><li>Execution Oversight: Partner with R&amp;D teams to manage the development lifecycle and ensure delivery quality.</li><li>Backlog Support: Assist in prioritizing features based on market feedback and operational impact.</li><li>Stakeholder Coordination: Maintain clear communication channels between market-facing teams and technical execution units.</li></ul>Requirements<ul><li>Experience: Experience in Business Analysis, Project Coordination, or Operations.</li><li>Skills: Strong logical thinking, proficiency in documentation tools (Jira/Confluence), and interest in automation/low-code tools.</li><li>Communication: Professional fluency in Cantonese, English and Chinese.</li><li>Mindset: A systematic problem-solver who values logical "closed-loop" execution and risk anticipation.</li></ul></li></ul>

Business Analyst (Market & Product) Intern

<ul><li>Agentic Framework Development: Architect the core "AI Agent" logic, enabling autonomous digital co-facilitators to reason in real-time and respond empathetically and contextually to student inputs.</li><li>Gamified Logic Engineering: Leverage game mechanics (including state management and collision logic) to build technically robust, engaging "Psychology Missions"—such as our "Siumai vs Zombie"-style mechanics.</li><li>Data Pipeline Integration: Design and implement the technical bridge connecting the web-based game platform to the Teacher/Parent Analysis Dashboard for real-time data visualization.</li><li>Sentiment &amp; Behavioral Classification: Deploy machine learning models to analyze interaction speed, choice patterns, and text to classify student sentiment and engagement levels.</li><li>Predictive Risk Modeling: Help engineer a backend "Traffic-Light" risk model ($Red / Yellow / Green$) that aggregates multi-agent data to flag students needing immediate teacher intervention.</li><li>Dynamic Procedural Content Generation (PCG): Develop AI-driven systems to programmatically generate personalized gamified missions targeting a student’s specific psychological stressors.</li></ul>

Job Responsibilities<ol><li>Responsible for the research and development of the company’s core projects to support the rapid growth of business.</li><li>Conduct high-quality system design and code implementation.</li><li>Continuously optimize service stability, system performance and technical issues to improve user experience.</li><li>Participate in product requirement discussions, technical planning and implementation, collaborate efficiently with team members to deliver projects on time and with high quality.</li></ol>Job Requirements<ol><li>Bachelor’s degree or above in Computer Science or related fields; solid basic knowledge with at least 2 years of working experience in software development.</li><li>Proficient in object-oriented design and development, familiar with Java tech stack.</li><li>Understand challenges and solutions of distributed systems, master the principles and application of common middleware.</li><li>Working experience in high-concurrency C-end product scenarios is highly preferred.</li><li>Experience in blockchain industry or big data is a plus.</li><li>Strong learning ability, self-motivated, responsible and good team player.</li></ol>

Software Engineer

(Associate) AI/LLM Engineer — Multi-Agent SystemsAutoInsight Ltd · Hong Kong · Fresh Graduates WelcomeAbout UsAutoInsight builds next-generation Customer Data Platforms powered by multi-agent AI. Our flagship product, AIM CDP, uses autonomous AI agents to deliver intelligent, privacy-first customer insights for enterprise clients. We move fast, we build things that haven't been built before, and we invest in people who are genuinely excited about where AI is heading.The RoleWe're looking for a curious, self-driven engineer to join our AI engineering team. You'll work alongside experienced AI architects and engineers to build, test, and iterate on AI agents that are part of a production multi-agent pipeline. No prior experience with our stack is required — we'll train you on everything specific to our system. What matters most is your mindset: you learn quickly, you experiment confidently, and you care about building things that actually work.What You'll Do<ul><li>Build and maintain AI agents across different stages of a data pipeline — from data ingestion to analytics and insight generation</li><li>Integrate LLMs into agent workflows, including prompt design, context assembly, and output validation</li><li>Work with RAG pipelines, vector stores, and knowledge retrieval systems</li><li>Write clean Python code for agent logic, APIs, and data processing tasks</li><li>Contribute to both backend agent development and lightweight frontend dashboards</li><li>Write unit and integration tests for agents you build</li><li>Document your work clearly so teammates and future engineers understand it</li></ul>Who We're Looking ForYou don't need to know our product. You do need to be genuinely interested in AI engineering and willing to go deep.Must-have:<ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field (fresh graduates welcome)</li><li>Strong Python programming skills</li><li>Solid understanding of fundamental AI/ML concepts</li><li>Familiarity with at least one LLM framework — LangChain, LangGraph, LlamaIndex, or similar</li><li>Comfortable working with APIs, SQL, and version control (Git)</li><li>Good written and spoken English</li><li>Self-motivated — you don't wait to be told what to learn</li></ul>Good to have:<ul><li>Hands-on experience or coursework in prompt engineering — structuring prompts for reliability, cost efficiency, and consistent output</li><li>Understanding of context engineering — how to manage, compress, and pass context across multi-step AI workflows</li><li>Familiarity with RAG (Retrieval-Augmented Generation) — embedding, vector search, retrieval pipelines</li><li>Exposure to multi-agent frameworks — AutoGen, LangGraph, CrewAI, n8n, or similar</li><li>Knowledge of AI agent patterns — tool use, memory, planning, reflection, and inter-agent communication</li><li>Awareness of MCP (Model Context Protocol) or similar agent communication standards</li><li>Interest in AI system architecture — how to design reliable, observable, and cost-efficient LLM-powered systems</li><li>Experience building or fine-tuning models with Hugging Face Transformers, PyTorch, or Ollama</li><li>Frontend experience with React JS or Streamlit for dashboard and monitoring views</li><li>Familiarity with cloud platforms (AWS / GCP / Azure)</li></ul>What We Offer<ul><li>A real role on a real production AI system — not a side project or a demo</li><li>Direct mentorship from experienced AI architects and senior engineers</li><li>End-to-end exposure across the full AI engineering stack: agents, LLMs, RAG, data pipelines, and frontend</li><li>A fast-moving, collaborative team that values learning and experimentation</li><li>Competitive salary and benefits</li><li>Modern office in Kowloon Tong</li></ul>ApplySend your CV and any portfolio, GitHub profile, or personal project links to:candy.tung@autoinsight.cloudWe read every application. A personal project or a clear example of something you've built independently will make your application stand out.<ul><li>Understanding of transformer architectures and language models</li><li>Familiarity with LLM frameworks (PyTorch, Hugging Face, Langchain, Ollama)</li><li>Basic knowledge of model quantization and optimization</li><li>Understanding of prompt engineering principles</li><li>Familiarity with LLM fine-tuning techniques</li></ul>General Requirements:<ul><li>Bachelor's degree in Computer Science, Software Engineering, or related field</li><li>0-2 years of relevant work experience</li><li>Strong Python programming skills</li><li>Understanding of basic AI/ML concepts</li><li>Knowledge of multi-agent systems e.g. AutoGen, n8n, LangGraph (beneficial)</li><li>Experience with React JS and modern frontend development</li><li>Familiarity with SQL and database concepts</li><li>Basic understanding of distributed systems</li><li>Good problem-solving and analytical skills</li><li>Strong communication skills in English</li><li>Self-motivated with eagerness to learn</li></ul>Technical Skills:<ul><li>AI/ML: PyTorch, Hugging Face Transformers, TensorFlow</li><li>Frontend: React JS, HTML5, CSS3, JavaScript, Streamlit</li><li>Backend: Python, SQL</li><li>Tools &amp; Platforms: Git/bitbucket, Cloud platforms (AWS/GCP/Azure)</li><li>Additional Knowledge: REST APIs, Agent Communication Protocols</li><li>Beneficial: Experience with reinforcement learning, NLP</li></ul>What We Offer:<ul><li>Opportunity to work on cutting-edge Multi-Agent AI systems with local LLMs</li><li>Exposure to advanced CDP technologies</li><li>Professional growth in AI, LLMs, and distributed systems</li><li>Collaborative and innovative work environment</li><li>Competitive salary and benefits package</li><li>Modern office located in Kowloon Tong</li></ul>ApplySend your CV and any portfolio, GitHub profile, or personal project links to:candy.tung@autoinsight.cloudWe read every application. A personal project or a clear example of something you've built independently will make your application stand out.

(Associate) AI/LLM Engineer — Multi-Agent Systems

13-month pay

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AI in Action Career Day 2025

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HYAB Youth Start-up Internship Programme (YSIP)  2026

HKSTP Career Fair 2026: AI+ Reimagined

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Where Talent Meets Opportunity

Marketing Executive

Assistant Deployment Manager / Deployment Executive (HK)

Freelance Technician

Mechanical Engineer (Fresh Graduate / IANG Holder Is Welcome)

Research Engineer

Business Analyst (Market & Product) Intern

Research Engineer

Software Engineer

(Associate) AI/LLM Engineer — Multi-Agent Systems

HKSTP Global Internship 2026

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