HYAB Youth Start-up Internship Programme (YSIP)

Summer Internship 2026 Open for Application

HKSTP Global Internship 2026

Talent Foundry

Innovation Mixer

Job Responsibilitie<ul><li data-zone-id="0" data-line-index="1" data-line="true">Conduct comprehensive research on large model technology and its industry applications, covering natural language processing, human-computer dialogue, and other fields, analyze practical cases in education, healthcare, finance, and other industries, and deeply understand the application effects and feasibility of large models across various industries.</li><li data-zone-id="0" data-line-index="2" data-line="true">Design and implement unified large model access and deployment solutions, select large models suitable for each target application field, optimize model call efficiency and response time, ensuring fast and convenient access and efficient deployment.</li><li data-zone-id="0" data-line-index="3" data-line="true">Formulate and optimize workflows and technical solutions, covering data processing, model invocation, and result output, enhance system stability and maintainability, solve technical challenges in engineering implementation, and reduce deployment and maintenance costs.</li><li data-zone-id="0" data-line-index="4" data-line="true">Continuously optimize and upgrade large model application systems, monitor system operation and user experience according to business needs and technological developments, collect feedback, and perform system performance optimization and feature upgrades to ensure the long-term efficient operation of large model applications.</li></ul>Requirements<ol><li data-zone-id="0" data-line-index="7" data-line="true">Bachelor's degree or above in Computer Science, Mathematics, or related fields； at least 5 years of relevant work experience for bachelor's degree holders.</li><li data-zone-id="0" data-line-index="8" data-line="true">Familiar with industry-leading technologies and algorithm models including computer vision, GANs, image processing, and OCR; understand the principles of algorithms and models, and have certain practical application and optimization experience.</li><li data-zone-id="0" data-line-index="9" data-line="true">Familiar with the application of Large Language Models （LLMs） in various tasks of natural language processing/multimodal processing.</li><li data-zone-id="0" data-line-index="10" data-line="true">Solid programming skills and corresponding engineering capabilities； proficient in using Python as the primary working language, and familiar with frameworks and tools such as OpenCV, Keras, TensorFlow, and PyTorch. 5. Innovative spirit, willing to delve into innovative algorithm applications and product innovation</li></ol>

Al Engineer

About the Role We are looking for a motivated AI / Machine Learning Engineering Intern to join our R&amp;D team.You will work closely with engineers on real-world AI systems, including model development, evaluation, visualization, and deployment optimization. This role is hands-on and engineering-focused, suitable for Year 2–3 undergraduate students who already have basic programming experience and want to deepen their skills in applied AI. What You Will DoAssist in developing and testing deep learning models (CV or LLM-related tasks)Implement and experiment with models using Python and PyTorchVisualize model outputs (e.g. feature maps, attention, heatmaps, inference results)Help optimize inference performance using tools such as:ONNXTensorRTCUDA (optional / exposure level)Participate in debugging, benchmarking, and improving model accuracy and speedWork with senior engineers to understand real deployment constraintsWhat We’re Looking For Must HaveCurrently Year 2–3 undergraduate student in: Computer Science Electronic Engineering AI / Data Science or related STEM fieldComfortable with Python Basic experience with PyTorch Familiarity with at least one area: Computer Vision (e.g. CNNs, detection, tracking) Large Language Models (basic understanding is enough)Nice to Have (Not Required)Experience with: CUDA / TensorRT / ONNX C++ (for model inference or performance) Model profiling or visualizationUnderstanding of model acceleration or deployment concepts Experience running models on GPU / edge devicesWhat You’ll GainHands-on experience with real production-oriented AI systems Exposure to model optimization and deployment, not just training Mentorship from experienced AI engineers Opportunity to grow into a long-term role (for strong performers)Who This Role Is NOT ForThis role is not pure academic research No requirement to publish papers No expectation to lead projects independently We value learning ability, curiosity, and solid fundamentals over buzzwords. Candidates are encouraged to include GitHub, school projects, or any personal AI experiments.

AI / Machine Learning Engineering Intern

Duties • Participate in a team to design and layout of high-speed ICs for optical fiber/wireline communications, Design, verification, simulation and optimization for amplifier, ADC/ DAC, bandgap, analog buffer, LDO, charge pump, voltage reference, PLL, oscillator, SerDes,etc. Create support documents. Requirements • Bachelor degree or above in Electronic Engineering. • Knowledge of analog and mixed-signal circuit design. • Familiar with simulation tools such as SPICE, SPECTRE • Experienced in high-speed circuit design is a plus good programming in Perl, TCL and Shellprogramming is preferred. • Applicant with less experience will be considered as Junior Analog Design Engineer • Knowledge in CMOS IC physical layout design and able to use various EDA tools. • Good understanding of semiconductor theory and structures of devices.

Junior/ Senior Analog Design Engineer

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 DetailsJob Summary:We are seeking a Junior Technology Research Engineer to join our R&amp;D team. The successful candidate will be responsible for conducting in-depth research and analysis of emerging technologies, industry trends, and competitive landscapes to support our strategic initiatives and product development efforts.Key Responsibilities:<ul><li aria-level="1">Conduct comprehensive literature reviews on aerodynamic technologies, focusing on design, materials, and performance.</li><li aria-level="1">Analyze existing research and case studies to identify best practices and innovative solutions in wind energy.</li><li aria-level="1">Collect and analyze data related to turbine efficiency, durability, and environmental impact.</li><li aria-level="1">Participate in field tests of prototypes, gathering real-world performance data and identifying areas for improvement.</li><li aria-level="1">Analyze test results and provide feedback for design modifications and enhancements.</li><li aria-level="1">Maintain detailed records of research activities, experimental results, and project developments.</li></ul>Qualifications:<ul><li aria-level="1">Bachelor ’s degree in Electronic Engineering, Aerospace Engineering, Physic or a related field.</li><li aria-level="1">Proven experience in technology research and analysis, or a related role.</li><li aria-level="1">Strong analytical skills with the ability to synthesize complex information into actionable insights.</li><li aria-level="1">Excellent written and verbal communication skills.</li><li aria-level="1">Proficiency in research methodologies and tools.</li><li aria-level="1">Familiarity with data analysis software and tools (e.g., Excel, SPSS, etc.) is an advantage.</li><li aria-level="1">Ability to work independently and collaboratively in a fast-paced environment.</li></ul>

Junior Technology Research Engineer

Job Responsibilities *<ul><li>Assist in maintaining communications with existing and potential customers.</li><li>Assist in identifying and researching new business opportunities and potential markets for the company.</li><li>Support the preparation of business proposals, tender submissions, quotations, and other client-facing documents.</li><li>Assist in company sales &amp; marketing activities, such as seminars, exhibitions and industry events.</li><li>Assist in preparing marketing materials such as product leaflets, company brochures and digital content.</li><li>Handle ad hoc tasks assigned by the management.</li></ul>

Assistant Business Development Officer

We're seeking a passionate intern to join our small, high-impact team and help evolve our AI-driven characters from responsive chat interfaces into more autonomous, intelligent agents that plan, remember, adapt, and interact naturally in 3D virtual worlds.Key Responsibilities<ul><li>Build and test agent features like memory, personality consistency, multi-turn reasoning, and simple tool use (e.g., animations or API calls)</li><li>Work on multimodal agents combining text, vision, audio, and 3D animation control</li><li>Help create no-code personality tools (sliders → smart agent behaviors)</li><li>Run evaluations for character quality, coherence, safety, and engagement</li><li>Integrate agent logic with Unity/Unreal, demos, or real-time apps</li><li>Collaborate daily on prototypes and partner demos</li></ul>Requirements<ul><li>Studying (or recently finished) Computer Science, AI, or related degree</li><li>Good Python skills and at least one LLM project (chatbot/agent, even small ones count)</li><li>Familiarity with at least one LLM/agent framework or library</li><li>Interest in conversational AI, multimodal models, or character AI</li><li>Bonus: Any 3D experience (Unity, Blender), memory/reasoning chains, or interactive AI projects</li></ul>How to ApplyInterested candidates are invited to send their CV, portfolio (GitHub, relevant projects, demos, papers, etc.), and a brief note about why they want to join Mosjoy to: career@mosjoy.com (or the contact email listed on your official channels).Please include "AI Agent Engineer (Intern) – [Your Name]" in the subject line.We are an equal opportunity employer and welcome applications from all qualified individuals. Only shortlisted candidates will be contacted.We're seeking a passionate intern to join our small, high-impact team and help evolve our AI-driven NPCs from responsive chat interfaces into more autonomous, intelligent agents that plan, remember, adapt, and interact naturally in 3D virtual worlds.

AI Agent Engineer (Intern)

We're hiring a Tech &amp; Development Intern! This is a hands-on startup internship where you'll gain real experience in software development and edtech. In this position - full training provided, we value curiosity, proactivity, and passion for tech-enhanced learning.Key Responsibilities: - Develop features for our AR content editor &amp; mobile app - Design &amp; test engaging, user-friendly interfaces - Help integrate GPS, object recognition &amp; AR elements - Collaborate on prototyping, user testing &amp; product refinement - Contribute to docs and creative brainstormingWho we're looking for: - Full-time post-secondary student - Interest in software dev, UI/UX, edtech or AR (projects or curiosity welcome) - Any programming or design tool experience is a plus (Canva, Figma, etc.) - Proactive, fast learner comfortable in a startup environment - Good command in English and Cantonese - Passionate about education and meaningful tech experiences

Tech & Development Intern

Job DetailsThe Engineer will be responsible for Internet-of-Things (IoT) products development. He/She will be assigned to work with our R&amp;D team in HKSTP. The position will focus on the development process from initial technical research, prototypes preparation, engineering samples build, testing and validation, product certification to mass production. The candidate will also have a chance to work with our R&amp;D team internationally.Responsibilities:<ul><li>Responsible for the IoT products hardware design based on required product specification.</li><li>Definition of system/subsystem architecture and design target.</li><li>Define testing and validation procedures and methodology.</li><li>Schematic design, Bill-of-material (BOM) generation, components selection/validation and costing preparation.</li><li>Work with mechanical engineer, PCB layout engineer and project leader to complete the project tasks.</li><li>Occasional travel to PRC supporting R&amp;D activities may be needed depending on project requirement.</li></ul>Requirements:<ul><li>Degree or above in Electronic Engineering, Communication Engineering or related disciplines.</li><li>Sound and solid design and implantation experience with ZigBee, Bluetooth, Z-wave, LoRA and Wi-Fi technologies.</li><li>Sound and solid schematic design experience on analog and digital circuit, including AC/DC, DC/DC, re-chargeable batteries charging circuit, I2C, SPI and DDR RAM interface circuitry.</li><li>Familiar with hardware validation test and regulatory approval such as safety and EMI test.</li><li>Knowledge of different types of sensing technologies (PIR, microwave, ultrasonic, PM2.5 and etc.) will be ad added advantage.</li><li>Knowledge of microcontroller programming (C/C++, assembly) will be an added advantage</li></ul>

Senior R&D Hardware Engineer

13-month pay

5-day week

Additional subsidies

Alternate saturday

Childcare

Competitive pay

Dental plan

Discretionary bonus

Education subsidies

Flexible working hours

General holidays

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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

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