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

崗位職責:1、負責獨角獸平臺資訊數據部分的金融AI應用的研發，負責大規模數據集的收集、清洗、提煉、優化、分析、預標注等工作，以達到高效準確獲取金融資訊、篩選、分析和生產內容；2、參與平臺一級市場行業知識圖譜在圖譜智能構建、智能回答、資訊檢索中的模型開發；結合多種人工智慧、機器學習、開發多場景、一站式金融AI應用；3、參與優化自然語言處理基礎模組效果，包括不限於分詞、實體識別、語法分析、意圖分類等。4、跟蹤AI領域最新研究成果，負責自然語言、感知模組相融合的演算法研究；5、能夠處理不同語言的文本數據，理解多語言處理的挑戰和技術，推動公司在AI和NLP領域的發展，將NLP技術應用於實際問題和產品開發中。職位要求：1、全日制本科以上學歷，人工智慧、數據科學、電腦等相關專業優先，要求有良好的英語表達溝通能力；2、瞭解DL、CV、NLP等專業知識，具備三年以上AI數據領域開發經驗，精通Python，熟悉數據處理分析工具，如Pandas、sklearn等，以及數據可視化技術；3、瞭解數據處理相關的深度學習演算法，能熟練使用聚類、回歸、分類、復原，擴增等模型調優數據，具備一定的CV演算法基礎和處理能力；4、扎實的演算法基礎，熟悉主流深度學習框架（Tensorflow/Pytorch 等），瞭解流行的語言模型，如Seq2Seq、Transformer；5、熟悉數據挖掘、預處理、增強和特徵工程等等構建知識庫，並且有實際落地專案經驗；6、有自然語言理解、資訊檢索等領域的研究背景和工作經驗者優先；

AI R&D Engineer

DescriptionWe are seeking an Application Engineer who can bridge the gap between display technology and system integration. You’ll work closely with display, optical, electrical, and software teams — as well as external partners to integrate, test, and optimize our microLED displays within AR glasses platforms.The ideal candidate understands how displays and light engines interact with optical systems, has a strong grasp of waveguides, and is experienced in debugging hardware–software issues in complex optoelectronic systems.Key Responsibilities<ul><li>Provide guidance and consult with customers on light engine design concepts and solutions to optimize the performance of their AR display systems.</li><li>Provide expert technical support to Inlighten customers, addressing field application issues, system performance troubleshooting, system solutions design-in support, and partner management in collaboration with the sales organization.</li><li>Create technical collateral in cooperation with the product marketing team, including application notes, white papers, PowerPoint training modules, performance calculators, and reference designs that demonstrate the value proposition and competitive advantage of Inlighten products for target applications.</li><li>Develop customer demos that effectively promote key features and benefits of our products.</li><li>Serve as the primary technical point of contact for key customers, providing guidance and support throughout the product development lifecycle.</li><li>Provide timely resolution to customer inquiries, issues and concerns, ensuring high levels of customer satisfaction.</li><li>Collaborate with software and firmware teams to diagnose and resolve display-related issues (timing, drivers, communication, image artifacts, etc.).</li><li>Support customer and partner engagements by demonstrating system functionality and addressing technical inquiries.</li><li>Provide timely resolution to customer inquiries, issues and concerns, ensuring high levels of customer satisfaction.</li><li>Provide feedback to design teams to improve manufacturability, reliability, and integration readiness.</li></ul>Minimum Qualifications<ul><li>BS/MS in Electrical Engineering, Optical Engineering, Physics, or related field.</li><li>3+ years of hands-on experience working with displays, LEDs, optoelectronics, or semiconductor devices.</li><li>5+ years of experience in display systems, AR/VR devices, or optoelectronic hardware integration.</li><li>Prior experience supporting demo environments, developer hardware, or early-stage XR prototypes.</li><li>Strong understanding of display technology, light engines, and waveguide optics.</li><li>Proficiency in debugging hardware-software interactions — familiarity with firmware, display drivers, and embedded interfaces (MIPI, SPI, I2C, etc.).</li></ul><ul><li>Must be professional, detailed, customer-oriented, self-driven and able to collaborate with interdisciplinary teams to meet customer needs.</li><li>Excellent problem-solving skills and ability to thrive in a startup environment where priorities evolve quickly.</li><li>Strong ability to influence with excellent interpersonal skills and ability to anal yze, summarize, and communicate efficiently (written and verbal) in a multicultural environment </li></ul><ul><li>Ability to travel up to 50% of the time (including international events).</li></ul>Preferred Qualifications<ul><li>Advanced degree (MS or PhD) in a relevant field.</li><li>Previous work in commercially available AR glasses</li><li>Comfortable with Python, MATLAB, or C/C++ for data analysis.</li><li>Hands-on experience with optical testing equipment (spectrometers, cameras, light measurement tools).</li><li>Pre-sale and marketing experience.</li><li>System/Architecture experience.</li></ul>

Application Engineer

一、關於我們：鉑力特致力於成為全球領先的增材技術解決方案提供商。公司成立於2011年7月，2019年7月22日正式在上交所科創板掛牌上市，在香港、德國、美國設有子公司，鉑力特是國家級高新技術企業，擁有國家企業技術中心等高水準科研平臺。截止到 2025 年12月底，鉑力特擁有員工3531人，研發人員約占 19.48%，申請金屬增材製造技術相關自主專利738項，鉑力特（香港）科技有限公司是西安鉑力特增材製造有限公司的全資子公司，公司位於香港科學園，主要從事增材製造研發和前沿應用技術研究等。 二、崗位介紹：本崗位為增材製造AI前沿部署工程師（FDE），核心定位是打通AI技術與工業生產場景，聚焦金屬3D列印全流程的AI落地應用。候選人核心價值在於懂AI應用、懂工業落地、擅長場景挖掘與方案驗證，能夠結合AI大模型、RAG、智能自動化等技術，梳理適配SLM金屬列印的高價值場景，落地工藝知識庫、自動化工藝開發、智能缺陷分析、軟體流程智能化等應用，推動AI技術從原型驗證走向規模化工業落地。三、崗位職責：<ol><li>工業AI場景挖掘與梳理：深入熟悉金屬增材製造全業務流程，圍繞工藝開發、參數優化、品質檢測、知識沉澱等核心痛點，挖掘、篩選高價值、可落地的AI應用場景，完成需求定義、優先順序排序與落地規劃</li><li> AI方案設計與落地應用：依託大模型、RAG、AI Agent等技術，整合內外部AI工具、開源能力及第三方資源，獨立設計端到端AI應用方案。核心落地實現工藝自動化開發、工藝參數智能優化、缺陷智能分析、工藝知識庫搭建等核心能力</li><li> 內外部資源統籌落地：統籌推進AI專案落地，對內拉通工藝、生產、軟體、演算法團隊對齊落地節奏；對外整合AI廠商、技術服務商等外部資源，補齊技術能力，打通落地壁壘，推動AI場景從試點驗證走向規模化複用。</li><li>工業數據與智能資產沉澱：依託企業工藝資料、實驗數據、生產案例，搭建標準化增材製造工藝知識庫、知識圖譜；聯動SLM軟體、工藝資料庫，完成數據清洗、特徵梳理，搭建自動化工藝開發工作流，沉澱可複用的工業AI應用資產。</li><li> 效果量化複盤與複製推廣：建立AI落地量化評估體系，從工藝週期、調試效率、缺陷率、知識複用等維度量化落地價值。定期複盤迭代，沉澱標準化落地規範與案例，推動優質AI場景批量複製落地。</li><li> 行業前沿跟進與場景創新：持續調研工業AI及增材製造智能化前沿方案，對標行業先進落地案例，挖掘全新應用場景，持續拓展AI賦能智能製造的落地邊界，提升公司整體工藝智能化水準。</li></ol>四、任職要求：<ol><li>博士及以上學歷，電腦、人工智慧、大數據、自動化、軟體工程、機械、材料等相關專業，5年AI在工業領域落地經驗。</li><li> 具備扎實的AI應用落地能力，熟悉RAG知識庫、Prompt工程、AI Agent智能工作流，瞭解工業大模型應用邏輯，不局限於演算法理論，側重落地實操。</li></ol>掌握Python基礎數據處理能力，能夠獨立完成AI應用PoC原型搭建、數據測試、效果驗證，具備從0到1落地AI專案的實操經驗。<ol><li> 具備嚴謹的工業落地思維，懂AI方案驗證邏輯，能夠區分實驗室Demo與工業生產落地的差異，對AI賦能工業製造、智能製造落地抱有極大熱情與職業抱負，願意長期深耕工業AI創新賽道。</li><li> 具備優秀的業務洞察與業務梳理能力，善於穿透表面需求、理解業務本質，精准定位業務核心痛點與關鍵問題，擁有成熟、清晰的業務拆解、梳理思路與落地方法論，可高效將複雜業務場景轉化為標準化、可落地的AI解決方案。</li><li> 具備出色的跨部門溝通協調與協同推進能力，善於聯動不同職能團隊對齊目標、打通協作壁壘，高效推動AI專案落地迭代。</li><li> 有一定的英語能力，聽說讀寫流利。</li></ol>7.具有香港合法工作簽證。五、我們提供：<ol><li> 頭部增才製造研究平臺，行業領先的金屬3D列印全場景解決方案（粉末，設備，軟體應用，列印服務）</li><li> 全產業鏈視角，內部優質資源支撐，國際化產業視野</li><li> 富有競爭力的薪酬</li><li> 全面的培訓和學習機會，快速掌握瞭解行業核心知識。</li></ol>

增材製造AI前沿部署工程師

<ul><li>Conduct pioneering research into Data-centric AI methodologies, shifting the focus from model tuning to systematic data quality improvement and feature engineering for robust labelless detection.</li><li>Investigate and implement Domain Adaptation techniques to ensure one AI core can seamlessly migrate across diverse vertical industries with minimal retuning.</li><li>Investigate Active Learning frameworks to iteratively refine models, developing strategies to prioritise high-value data samples for incremental training, thereby reducing reliance on large-scale labelled datasets.</li><li>Research and develop robust data orchestration pipelines and backend architectures to autonomously identify key features within massive datasets, enabling the continuous evolution of the AI core.</li><li>Research and develop autonomous calibration algorithms (Auto-Thresholding) that dynamically adjust system sensitivity based on real-time production variances and statistical normalisation.</li><li>Design and investigate automated data-quality assessment tools and interactive diagnostic dashboards to ensure that raw visual data meets stringent research requirements while providing clear insights to stakeholders.</li><li>Research and develop secure deployment methodologies, including the encapsulation of research findings into encrypted, hardware-locked SDKs to protect the company's intellectual property.</li><li>Investigate self-diagnostic and profiling interfaces within the SDK framework to enable real-time performance monitoring and error tracing within a black box architecture.</li><li>Analyse and manipulate large-scale R&amp;D datasets to extract actionable insights, utilising advanced optimisation techniques to maximise system throughput and consistent alert reliability across varying sensors.</li><li>Optimise research-driven models for heterogeneous computing (NPU/GPU) on the selected AIPC platform, ensuring the scalability and reliability of the data-exchange layers between edge and server.</li></ul>Job Requirements<ul><li>Degree in Computer Science, Data Science, Statistics, Mathematics, or Artificial Intelligence.</li><li>Proficiency in programming languages such as Python and C++, conducting research-to-SDK encapsulation and backend architecture.</li><li>Strong understanding of Domain Adaptation, Transfer Learning, and Domain Generalisation principles to facilitate cross-industry model deployment.</li><li>Experience with backend frameworks and database systems for building scalable, data-driven services.</li><li>Strong understanding of Data-centric AI principles, specifically in the areas of data cleaning, automated labelling, or feature selection for computer vision.</li><li>Experience in developing machine learning models for computer vision, specifically in labelless detection, unsupervised learning, or active learning.</li><li>Familiarity with frontend visualisation libraries to translate research findings into functional internal dashboards.</li><li>Ability to derive scientific conclusions from noisy, large-scale datasets and build scalable software tools to support these findings.</li></ul>

Computer Vision Machine Learning Research Engineer

JOB RESPONSIBILITIES:<ol><li>Research &amp; Development of Advanced Biomechanical Workflows - Design, implement, and optimize open-source finite element analysis (FEA) workflows for orthopaedic imaging, focusing on integrating patient-specific CT data with biomechanical modelling to simulate bone and implant mechanics. - Perform detailed biomechanical simulations to evaluate mechanical behavior under various physiological conditions, addressing key technological challenges such as automated mesh generation for complex bone geometries, assignment of heterogeneous and anisotropic material properties, and multi-scale modeling of bone-implant interactions. - Validate simulation results against clinical and experimental data, ensuring accuracy and reliability of computational models. - Develop advanced algorithms to enhance simulation accuracy, computational efficiency, and robustness, directly addressing scientific and technical uncertainties inherent in patient-specific biomechanical modelling. - Contribute to the development of standardized, reproducible workflows suitable for broader clinical adoption and translational research. </li><li>Interdisciplinary Collaboration &amp; Scientific Advancement - Collaborate closely with interdisciplinary teams including engineers, clinicians, and software developers to refine algorithms, improve computational efficiency, and ensure compatibility with clinical imaging systems, surgical planning tools, and data management pipelines. - Engage in collaborative discussions with engineering, product, and clinical teams, contributing to project planning, progress tracking, and solution optimization. - Establish and nurture research collaborations with clinical partners and research institutions, particularly with clinical experts and hospitals in mainland China, to understand their research needs in orthopaedics, medical imaging, biomechanics, and simulation, and facilitate the application of our technologies in scientific studies. - Independently conduct clinical scientific research, managing the full cycle of projects from initiation to publication, with a preference for candidates with first author publications in relevant SCI Q1 journals or patents. </li><li>Technical Expertise &amp; Innovation - Leverage understanding of regulatory frameworks (e.g., NMPA, FDA 510(k)) to guide R&amp;D strategies and ensure developed solutions meet regulatory standards for Software as a Medical Device (SaMD). - Provide feedback from R&amp;D activities to product development teams, contributing to product enhancements and new feature development based on scientific findings. - Participate in industry events, conferences, and workshops to stay abreast of emerging technologies and research trends in medical AI and imaging solutions.</li></ol> QUALIFICATIONS:<ol><li>A PhD in Biomedical Engineering from a recognized university, and preferably with a research background in orthopaedics, biomechanics, simulation, or medical imaging.</li><li>Proven experience working in the fields of medical devices, orthopaedics, and medical imaging AI solutions, particularly in the development and validation of computational models, as well as working on finite element analysis (FEA) workflows for orthopaedic imaging and biomechanical modelling. </li><li>Demonstrated ability to independently conduct clinical scientific research, manage projects from initiation to publication, and secure external funding, particularly with clinical clients and research institutions in the mainland Chinese market. </li><li>Strong understanding of AI/ML concepts and their application in orthopaedic biomechanics, advanced medical imaging analysis, and surgical simulation. </li><li>Experience with regulatory processes for medical devices (e.g., NMPA, FDA 510(k), NMPA) and previous experience with on-site submissions and inspections at testing institutes is highly desirable. </li><li>Fluency in Mandarin and English.</li><li>Flexible to accommodate travel requirements.</li></ol> HOW TO APPLY: Interested applicants should send their up-to-date CV and research publication list (where applicable), quoting the job post on the subject line, and include information of current/expected remuneration and availability in the main body, to office@conovamed.com. Review of applications will commence as soon as possible and continue until the post is filled. The personal data provided in your application process will be used for recruitment and other employment-related purposes.

Research and Development (R&D) Engineer

What you'll do:<ul><li>As a Senior AI Engineer in WISIO Tech, you will research, design, develop, and implement AI-powered modules and solutions. These modules include, but are not limited to, event detection, semantic and instance segmentation, and vision large language models (VLM/LLMs).</li><li>Research on industry/academic trends, algorithms and emerging technologies in Edge-Optimized Multimodal VLLM Architecture, Vision AI, machine learning, and computer vision technologies.</li><li>Collaborate with cross-functional teams to gather system requirements and ensure compatibility with existing infrastructure. Optimize and test hardware limit and software components.</li></ul><ul><li>Regularly assess and refine the performance of AI models to identify and resolve any issues or biases.</li><li>Provide technical expertise and support, training users on the AI-powered platform and applications. You'll be a good fit if you have/are:<ul><li>PHD or above degree in Artificial Intelligence, Computer Science, Engineering, Data Science, or a related field</li><li>1-3 years of experience in developing and deploying AI/ML-based solutions, preferably in computer vision domains</li><li>Strong understanding of machine learning algorithms, deep learning, LLM and Computing Infrastructure</li><li>Proficient in programming languages and AI frameworks such as Python, TensorFlow, PyTorch, or similar</li><li>Excellent problem-solving, analytical, and critical-thinking skills</li><li>Excellent verbal and written communication skills in English, Cantonese/Mandrin </li><li>Note that experienced candidate will be invited for higher role</li></ul></li></ul>

Senior AI Engineer

部门：AI智能体研究中心 地点：香港, 深圳 工作经验：实习生、应届生 招聘人数：10人 关于岗位我们正在寻找多智能体协同工程师，加入 echOS Agent Core 团队。你将直接参与设计与实现：<ul><li>多业务 Agent 的角色划分与职责边界</li><li>跨 Agent 状态同步与数据一致性</li><li>Agent 间协商、冲突解决与联合决策机制</li><li>多 Agent 在真实交易系统中的稳定运行</li></ul>这是多智能体系统在真实产业场景中的工程化落地，而不是仿真环境中的理论实验。⸻工作重点（Focus）你将负责构建 echOS 多智能体协同基础设施，包括但不限于：Agent 架构层<ul><li>设计多 Agent 的角色模型（定价 / 库存 / 履约 / 渠道 / 计划）</li><li>构建 Agent 生命周期管理（启动、暂停、恢复、重组）</li><li>定义 Agent 权限边界与职责分离机制</li></ul>协同与决策层<ul><li>实现 Agent 间通信协议与状态广播</li><li>构建冲突检测与协商框架（如价格 vs 库存、时效 vs 成本）</li><li>支持集中式 + 分布式混合决策</li><li>引入多智能体强化学习（MARL）优化整体系统收益</li></ul>系统工程层<ul><li>构建多 Agent 仿真与回放环境</li><li>实现协同行为可观测系统（决策链路、责任归因、效果评估）</li><li>搭建 A/B 框架评估协同策略</li><li>支持新 Agent 快速接入现有系统</li></ul>⸻理想经验<ul><li>有复杂系统 / 分布式系统 / Agent 系统经验</li><li>熟悉 Python</li><li>理解强化学习或博弈论基本概念</li><li>能将复杂业务拆解为多个自治模块</li><li>具备系统级抽象能力</li></ul>加分项：<ul><li>Multi-Agent RL</li><li>博弈论 / 机制设计</li><li>调度系统 / 资源分配系统</li><li>企业级系统架构经验</li></ul>⸻你将面对的真实问题<ul><li>定价 Agent 提高利润但导致库存积压，库存 Agent 要求降价清仓，如何设计可学习的协商机制？</li><li>履约 Agent 为追求交付时效提高物流成本，如何让多个 Agent 自动达成成本与体验平衡？</li><li>新接入一个业务模块（例如促销 Agent），如何快速融入既有协同网络？</li><li>多 Agent 各自局部最优导致整体系统退化，如何设计全局激励？</li><li>企业策略变化（例如从增长导向转向利润导向），如何让 Agent 网络快速重构行为模式？</li></ul>⸻技术栈Python / PyTorch分布式系统多 Agent 框架Typescript / React（内部工具） Department: AI Agent Research Center Location: Hong Kong, Shen Zhen Work Experience: Graduate / Early Career Number of openings: 10 About the RoleWe are seeking Multi-Agent Systems &amp; Coordination Engineers to join our Agent Core team.You will help design and implement systems where multiple autonomous agents: •Share state and communicate •Negotiate resources and objectives •Resolve conflicts •Execute distributed decisions •Form stable long-term cooperation strategiesThis is multi-agent engineering in real industrial environments — not simulated grids.⸻FocusAgent Architecture •Design agent roles (pricing, inventory, fulfillment, channel, planning) •Implement agent lifecycle management (start, pause, recovery, reconfiguration) •Define responsibility boundaries and permissionsCoordination &amp; Decision Layer •Build inter-agent communication protocols •Implement conflict detection and negotiation frameworks •Support hybrid centralized + decentralized decision making •Apply multi-agent reinforcement learning to optimize global outcomes •Enable joint planning across agentsSystems Engineering •Build multi-agent simulation and replay environments •Develop observability tools for coordination behaviors and decision chains •Implement A/B frameworks for evaluating coordination strategies •Enable fast onboarding of new agents into existing ecosystems⸻Ideal Experience •Experience with complex systems, distributed systems, or agent architectures •Strong Python •Understanding of reinforcement learning or game theory fundamentals •Ability to decompose complex domains into autonomous components •Strong system-level abstraction skillsNice to have: •Multi-Agent RL •Game theory / mechanism design •Scheduling or resource allocation systems •Enterprise-scale system architecture⸻Typical Problems You’ll Work On •Pricing agents increase margin but cause inventory buildup — how should agents negotiate? •Fulfillment agents optimize delivery speed at higher cost — how do agents learn balanced strategies? •A new business agent is introduced — how does it integrate into the existing coordination network? •Local agent optimization degrades global performance — how do we design global incentives? •Enterprise strategy shifts (growth → profitability) — how do agents rapidly realign?⸻Tech StackPython / PyTorch Distributed systems Multi-agent frameworks TypeScript / React (internal tools)

多智能体协同工程师（Multi-Agent Systems & Coordination Engineer）

Responsibilities:<ul><li>Software Development</li><li>Firmware Development</li><li>AI Application development using machine learning model</li><li>Algorithm development</li></ul>Requirements:<ul><li> Degree or higher, in Electronic Engineer, Computer Engineering or equivalent disciplines</li><li>We are ready to take in freshmen and grow together with our company</li><li>C++ / C / Python / any related languages</li><li>Able to work independently</li><li>like to work in startup atmosphere</li><li>obsessed in learning and be a better you</li><li>Fluent in Cantonese, mandarin and English</li></ul>

Software Engineer

Job OverviewJoin our team to validate cutting-edge, hyper-realistic Digital Human ecosystems and Agentic AI solutions. In this junior-to-mid-level role, you will perform a blend of manual exploratory testing and internal test automation. Your primary focus will be comprehensive functional software and solution testing—ensuring that all system features, user flows, and application functions work flawlessly alongside our core Speech-to-Text (STT), Text-to-Speech (TTS), and LLM engines across cloud servers, interactive Kiosks, mobile apps, web interfaces, and on-premise hardware.Key Responsibilities<ul><li aria-level="1">Full-Feature Functional Testing: Own the functional testing lifecycle. Thoroughly test all software features, UI components, user navigation buttons, and operational flows to ensure the application behaves exactly as expected.</li><li aria-level="1">End-to-End Solution Testing: Validate the complete software-hardware integration loop. Ensure seamless data flows from physical user inputs on Kiosk/Web interfaces, through cloud-hosted AI layers, and back to the physical display output.</li><li aria-level="1">Validate Audio &amp; Speech Components: Test Speech-to-Text (STT) transcription accuracy and Text-to-Speech (TTS) naturalness, pronunciation, and real-time lip-sync alignment within the live environment.</li><li aria-level="1">Test AI &amp; Interaction Logic: Design and execute test matrices to evaluate LLM conversational branches, chatbot logic, and agentic workflows for multi-language accuracy, context retention, and low latency.</li><li aria-level="1">Build Internal Automation Frameworks: Develop, maintain, and execute automated test scripts targeting cloud APIs, communication pipelines, and core functional software modules to accelerate release cycles.</li><li aria-level="1">Monitor Cloud, Infrastructure &amp; Alerts: Actively watch cloud server metrics and system monitoring dashboards. Triage automated infrastructure or software alerts, investigate log files, and initiate immediate escalation paths for system anomalies.</li><li aria-level="1">Cross-Functional PMO Collaboration: Act as the primary QA anchor working daily with AI, Software, and the PMO teams to track bug resolution lifecycles and ensure software releases hit key milestones.</li></ul>Technical Requirements 🎯 Must Have<ul><li aria-level="1">Experience: 1 to 4 years of proven experience in software testing and complex functional/solution testing (Junior to Mid-Level).</li><li aria-level="1">Functional &amp; Feature Testing Mastery: Strong background in breaking down complex business requirements into detailed manual and automated test cases that cover 100% of application features and user edge cases.</li><li aria-level="1">Solution Testing Frameworks: Demonstrated ability to test multi-tier solutions where software interacts directly with cloud systems, APIs, and physical endpoints (Kiosks/devices).</li><li aria-level="1">Core Languages: Fluency in Python and JavaScript / TypeScript for writing test tooling and validating data.</li><li aria-level="1">API &amp; System Validation: Solid experience with automated API testing tools and functional web/mobile automation frameworks </li><li aria-level="1">Cloud Platform Familiarity: Hands-on experience navigating cloud platforms to verify hosted software components, server logs, and deployment environments.</li><li aria-level="1">Monitoring &amp; Alerting Systems: Direct experience working with telemetry, system monitoring, or cloud logging tools to track software health and react to real-time system alerts.</li><li aria-level="1">Agile Workflows &amp; Collaboration: Active usage of GitHub for version control, along with Jira or similar issue-tracking tools inside structured Agile frameworks. </li><li aria-level="1">Excellent English, Cantonese, Mandarin communication skills (written, reading, and verbal)</li><li aria-level="1">Ability to explain complex technical concepts to both technical and non-technical audiences</li><li aria-level="1">Strong problem-solving and analytical thinking capabilities</li><li aria-level="1">Self-motivated with ability to work independently and drive projects to completion</li><li aria-level="1">Collaborative team player who thrives in fast-paced environments</li></ul>💡 Good to Have<ul><li aria-level="1">AI Ecosystem Knowledge: Conceptual or hands-on exposure to AI Frameworks (LangChain, LlamaIndex), speech processing APIs, or LLM-based applications.</li><li aria-level="1">DevOps Basics: Basic understanding of containerization and deployments (Docker, Kubernetes) to better diagnose environment-specific software issues. Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with - The role you're applying for - Expected salary - Your availability We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only.</li></ul>

Where Talent Meets Opportunity