Summer Internship 2026 Open for Application

HKSTP GBA Talent Roadshow 2025

Talent Foundry

EPIC 2025

Innovation Mixer

1.Data Engineering and Preparation; Conduct data collection, cleaning, and feature engineering; Establish data pipelines and ensure data quality and governance compliance2.Model Development and Validation; Research, prototype, and implement machine learning and deep learning models; Customize off-the-shelf or open-source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs; Perform rigorous validation, hyperparameter tuning, and bias/error analysis; Integration and Deployment; Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices3.Performance Monitoring and Optimization; Implement monitoring frameworks to track model performance, drift, and resource utilization; Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies4.Knowledge Sharing and Support; Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools; Contribute to the development of AI standards and playbooks

Developer, Software and Al Solutions

Soqqle is seeking a dedicated Project Assistant Intern to join our team. This role will involve providing administrative and project coordination support, while also assisting with research tasks to ensure the successful execution of our metaverse learning app initiatives.<ul><li>Assist in coordinating day-to-day project tasks and operations.</li><li>Maintain and update project documentation, including progress reports, meeting notes, and timelines.</li><li>Analyze data and summarize findings to support ongoing projects.</li></ul>Qualifications:<ul><li>Strong project coordination and organizational skills.</li><li>Experience in providing administrative support and managing project timelines.</li><li>Strong multitasking skills and the ability to prioritize tasks effectively.</li><li>Interest in or experience within the digital education or edtech industry is a plus.</li><li>Bachelor’s degree in Marketing, Project Management, Business, Computing or a related field.</li></ul>

Project Assistant Intern

Role summary We are looking for a pragmatic engineer who builds production-grade autonomous AI agent systems powered by large language models. You will design, implement, and ship agent architectures and tooling that combine LLMs, external tools, and retrieval systems — while driving product decisions, prioritizing user value, and continuously tracking mainstream agent application trends and research to keep our platform competitive. Key responsibilities 1. Architect and implement agent frameworks that orchestrate LLMs, tool invocation, multi-step planning, memory, and retrieval. 2. Build reliable integrations to third-party tools and APIs (search, knowledge bases, task automation, SaaS endpoints), and design safe sandboxing for tool execution. 3. Lead prompt engineering, chain-of-thought strategies, and system prompts that improve agent fidelity, controllability, and cost-efficiency. 4. Design evaluation pipelines and metrics for agents (task success, hallucination rate, latency, user satisfaction) and run continuous A/B tests and benchmark suites. 5. Collaborate closely with product managers, UX researchers, and designers to translate user requirements into agent capabilities and prioritized roadmaps. 6. Monitor the ecosystem: track major open-source projects, commercial agent products, and academic advances; synthesize findings and recommend adoption or defensive strategies. 7. Prototype new AI agent use cases and ship incremental, production-grade features with observability, logging, and rollback plans. 8. Own deployment, scaling, monitoring, and cost optimization for agent services across cloud or hybrid infra. 9. Ensure agent behavior aligns with safety, privacy, and compliance requirements; implement guardrails and escalation flows. Required qualifications 1. Master or higher in Computer Science, Engineering, or equivalent experience. 2. 5+ years professional software engineering experience, with 2+ years working directly with LLMs, agents, or conversational AI. 3. Strong Python production experience; familiarity with asynchronous programming and service design. 4. Hands-on experience integrating LLM APIs and/or open-source models and toolkits (e.g., LangChain, LlamaIndex, or similar). 5. Demonstrated product sense: experience working with product teams, translating customer problems into technical requirements, and shipping features that move metrics. 6. Track record of following and synthesizing advances in the agent/LLM ecosystem; able to present actionable recommendations to product leadership. 7. Solid understanding of retrieval (vector databases), embeddings, and information retrieval concepts. 8. Experience with containerized deployment (Docker/Kubernetes), observability (metrics/tracing/logging), and CI/CD. Preferred skills 1. Experience with RLHF, online learning, or reinforcement learning techniques for agent tuning. 2. Familiarity with multi-agent systems, planning algorithms, and task planning frameworks. 3. Knowledge of safety mechanisms for LLMs (rate limits, content filters, dynamic guardrails). 4. Background in building SDKs or developer platforms that expose agent capabilities to internal or external users. 5. Experience with cost optimization for model usage (prompt templating, response batching, model selection strategies). 6. Strong written and verbal communication; comfortable documenting tradeoffs and aligning cross-functional teams. What success looks like (first 6–12 months) 1. Deliver a baseline production agent that reliably completes targeted tasks with measurable improvements vs. manual workflows. 2. Ship at least one user-facing capability driven by agent orchestration that increases a key product metric (e.g., completion rate, task throughput, NPS). 3. Establish an internal monitoring dashboard for agent health and behavior, and a biweekly competitive/tech scan with recommended actions. 4. Create reproducible evaluation suites and an experimentation plan to iterate agent behavior safely. What We Offer 1. Competitive compensation (HK$30,000) and performance-based incentives. 2. Opportunities to work on cutting-edge technologies with real-world deployment. 3. A collaborative and high-caliber engineering team environment. 4. Working hours: Monday to Friday (excluding public holidays). 5. Expected start date: Feb. 2026 (negotiable).

Artificial Intelligence Agent Engineer

MeerSec is an award-winning cybersecurity startup supported by the HKSTP Incubation Programme and recognized by top universities for innovation in security research and AI-driven protection. We are building AI-powered tools for threat detection, brand protection, and automated security operations. Our goal is to simplify and scale threat intelligence—turning complex security data into clean, actionable insight for teams of all sizes. We're exploring areas like LLM-enhanced vulnerability triage, phishing site detection, and automated CVE tracking using RAG pipelines. What You’ll Do<ul><li>Work with frontend and RD team to implement the backend services</li><li>Create an external communcation API</li><li>Security Research</li><li>RAG</li><li>Frontend developement</li></ul>

Intern - Software Engineer(AI Security)

<ul><li>Develop AI applications for tasks within the AML context</li><li>Develop, finetune, and evaluate AI models for NLP utilities including but not limited to knowledge extraction, token-level annotation, information standardization, and etc.</li><li>Integrate NLP utilities with existing AML system and pipelines</li></ul>

AI Engineer (NLP)

Position OverviewWe are seeking a motivated Web Engineer / Assistant Web Engineer to join our dedicated research team. This role is pivotal in building and maintaining sophisticated web applications that make complex data accessible and actionable for the construction industry.You will be instrumental in developing our data-driven platforms, focusing on building scalable backend services with Node.js and dynamic, interactive user interfaces with React. The ideal candidate is a skilled problem-solver passionate about data, full-stack development, and creating solutions that have a real-world impact.Key Responsibilities<ul><li>Front-End Development: Design, develop, and maintain responsive, high-performance web applications using React and its ecosystem.</li><li>Back-End Development: Build and manage server-side logic, RESTful APIs, and microservices using Node.js (e.g., Express.js) to support front-end applications.</li><li>Database &amp; Data Management: Integrate applications with various data sources. Design, optimize, and execute complex queries, stored procedures, and views, primarily using SQL Server.</li><li>Data Collection: Assist in developing and implementing data collection pipelines and services that feed into our core applications.</li><li>Collaboration: Work closely with researchers, data scientists, and other team members to translate project requirements into robust and efficient technical solutions.</li><li>Prototyping &amp; Testing: Prototype, test, and deploy applications, iterating based on user feedback and performance metrics to ensure high-quality, reliable solutions.</li><li>Documentation: Document engineering processes, API specifications, and database schemas for internal knowledge sharing.</li></ul>Qualifications &amp; SkillsRequired:<ul><li>Bachelor’s degree in Computer Science, Web Development, or a related field (or equivalent practical experience).</li><li>Proven experience in front-end development using HTML, CSS, and JavaScript (ES6+).</li><li>Strong proficiency in React.js and its core principles (e.g., Hooks, Context API, component-based architecture).</li><li>Solid experience in backend development using Node.js and frameworks like Express.js.</li><li>Demonstrable knowledge of SQL Server or other relational databases, including writing complex queries and understanding database design.</li><li>Familiarity with version control systems, particularly Git.</li><li>Excellent problem-solving skills and meticulous attention to detail.</li></ul>Preferred (Nice-to-Have):<ul><li>Knowledge of data visualization libraries (e.g., D3.js, Chart.js) integrated with React.</li><li>Familiarity with TypeScript.</li><li>Experience with cloud platforms (e.g., Azure, AWS) and CI/CD pipelines.</li><li>Strong communication skills, with the ability to articulate technical concepts to diverse stakeholders.</li><li>A keen interest in research and building user-centric web solutions.</li></ul>

Web Engineer / Assistant Web Engineer

📋 Your Role &amp; Impact<ol><li data-path-to-node="6"> Strategic Representation &amp; Pitching</li></ol><ul data-path-to-node="7"><li>The Voice of CarryAI: You will represent the company in high-stakes business meetings and pitches. We need someone who can speak confidently and professionally on the company’s behalf.</li><li>Customer Empathy: You must pay meticulous attention to detail to truly understand a customer's pain points and translate them into technical requirements for our engineering team.</li><li>Global Exposure: Plan and lead our presence at international Tech Expos and follow up on high-value global contacts.</li></ul><ol><li data-path-to-node="8"> Prop-Tech Innovation (Robotics + VLM)</li></ol><ul data-path-to-node="9"><li>Market R&amp;D: Research and develop strategies to tap into the Prop-Tech market, using our Robotic Dog platforms and Vision-Language Models (VLM).</li><li>Marketing Mastery: Design and build high-impact sales materials and marketing decks. You will also manage our social media exposure, thinking and acting as a digital brand lead.</li></ul><ol><li data-path-to-node="10"> Growth &amp; Funding</li></ol><ul data-path-to-node="11"><li>Startup Applications: Lead applications for prestigious startup competitions, accelerators, and government funding/grants. Your writing and strategic reasoning will directly fuel our R&amp;D.</li></ul>🧠 Our "Open Team" Culture: What We ExpectWe are looking for more than just a "salesperson"; we are looking for a thought partner.<ul data-path-to-node="15"><li>Constructive Feedback: We believe in radical transparency. You must be able to understand a situation, reason through problems logically, and provide constructive feedback to the team—including the founders.</li><li>Situational Awareness: Whether you are in a boardroom or at a construction site demo, you should be able to read the room and adapt your communication style.</li><li>Precision: Detail matters. From a funding application to a client email, your work must reflect the high quality of our AI technology.</li></ul>

Intern - Business Development

Embedded <ol><li>Cooperate with hardware engineers to complete the design of the overturn</li><li>Select MCU according to product characteristics and requirements</li><li>Complete MCU software writing, design, debugging, testing and maintenance</li><li>Responsible for the writing of corresponding development documents and software manuals</li></ol>AI <ul><li>Development Skills:</li><ul><li>Programming Language: Proficient in Python and commonly used official libraries</li><li>Tools: Familiar with IDEs and toolchains for Python development and debugging, Linux system administration, log debugging and analysis, error troubleshooting</li><li>Networking: Basic knowledge of networking, including network architectures and TCP/IP protocols</li><li>Middleware: Experienced in the development of caching, message queuing, database connection pooling, log collection, configuration management, and service discovery</li><li>Databases: Proficient in SQL, MySQL/PostgreSQL usage and development</li><li>Containerization: Knowledgeable about containerization technologies such as Docker, Kubernetes (k8s), with practical project experience</li><li>Data Analysis, Processing, and Visualization</li></ul><li>AI Skills:</li><ul><li>Knowledge of AI fundamentals: mathematical foundations, machine learning, deep learning</li><li>Familiarity with AI-related development libraries: scientific computing libraries, visualization tools, machine/deep learning frameworks</li><li>Understanding of the principles and application scenarios of AI technologies such as Natural Language Understanding, Stable Diffusion, MJ, and large language models</li><li>Experience in participating in the complete development stage of open-source AI/AIGC related production-level projects</li><ul><li>Project categories include but are not limited to: virtual assistants, language processing, image processing, video processing, text processing, and audio processing</li></ul><li>Experience in using AI-assisted development to improve productivity in production practices</li></ul></ul>

Embedded Software & AI Engineer

Key Responsibilities<ul data-path-to-node="7"><li>Search Engine Marketing (SEM): Assist in setting up and monitoring paid search campaigns. Perform keyword research and analyze data to optimize ad performance.</li><li>Content Marketing: Draft engaging copy for blog posts, newsletters, and marketing collateral. Help develop content strategies that resonate with our target audience.</li><li>Social Media Management: Create and schedule posts across various platforms (e.g., LinkedIn, Instagram, Facebook). Monitor community engagement and track social media metrics.</li><li>Analytics &amp; Reporting: Support the team in tracking campaign results and preparing simple performance reports to guide future strategies.</li></ul>Requirements<ul data-path-to-node="9"><li>Experience: 0 - 2 years (fresh graduates and current students are welcome to apply).</li><li>Education: Currently pursuing or recently completed a degree in Marketing, Communications, Business, or a related field.</li><li>Skills: Basic understanding of SEM, Content Marketing, and Social Media best practices.</li><li>Language: Proficient in English (Cantonese or Mandarin is a plus).</li><li>Soft Skills: Strong communication skills, creativity, and a willingness to learn in a fast-paced environment.</li></ul>What We Offer<ul data-path-to-node="11"><li>Hybrid Work Arrangement: Flexible balance between remote work and office collaboration.</li><li>Mentorship: Direct guidance from experienced marketing professionals.</li><li>Real Impact: Opportunity to work on live campaigns and contribute to the company's growth.</li></ul>

Where Talent Meets Opportunity