Artificial Intelligence Engineer

Fulltime - Permanent Role

https://www.questglobal.com/

We have registered as company in TW - Taiwan Branch Address - 12F, No. 508, Sec 5, Zhongxiao E. Rd., Xinyi Dist., Taipei City 110, Taiwan (R.O.C.)

Job Location : Taipei, Taipei City, Taiwan

Experience : 3 - 12 Years

1. AI & Workflow Automation Specialist / Engineer P-122692
2. AI Software Tester / AI Engineer P-122685
3. AI Software Developer P-122684
4. Technical Program Manager – New Technology Enabling P-122683

AI & Workflow Automation Specialist / Engineer P-122692

Job Requirements

Key Responsibilities

• Develop AI and automation solutions using Microsoft Copilot, Copilot Studio, Azure OpenAI, and related technologies.
• Create and maintain automated workflows for approvals, notifications, reporting, project tracking, and data synchronization using Power Automate and scripting tools.
• Integrate data from SharePoint, Microsoft Lists, Excel, Power BI, Teams, and internal systems to support reporting and analytics.
• Build internal web applications, dashboards, and productivity tools to improve engineering operations and project management.
• Collaborate with engineering teams, program managers, IT teams, and business stakeholders to identify automation and process improvement opportunities.
• Drive adoption of AI-powered solutions and digital transformation initiatives to improve operational efficiency.
• Analyze business processes and recommend technology-based solutions to enhance productivity and reduce manual effort.
• Provide technical support, documentation, and user guidance for developed applications, automation tools, and AI solutions.
• Work Experience

Required Qualifications

• Experience with Microsoft 365, SharePoint, Power Platform, and Power Automate.
• Knowledge of workflow automation, business process improvement, and data management.
• Experience creating dashboards and reports using Power BI.
• Basic programming skills in Python, JavaScript, HTML, and CSS.
• Strong analytical and problem-solving skills.
• Good communication and stakeholder management skills.

Preferred Qualifications

• Experience with Microsoft Copilot, Copilot Studio, or Azure OpenAI.
• Knowledge of API integration and connecting enterprise systems.
• Experience developing custom SharePoint solutions.
• Participation in digital transformation, process automation, or AI adoption projects.
• Familiarity with engineering operations, hardware product development, or New Product Introduction (NPI) processes.

AI Software Tester / AI Engineer P-122685

Job Requirements

Key Responsibilities

• Validate and test AI-powered applications, copilots, chatbots, and automation solutions.
• Create and execute test plans, test cases, and test scenarios for AI and software applications.
• Verify the accuracy, reliability, and performance of AI-generated responses and workflows.
• Perform functional, integration, regression, and user acceptance testing.
• Identify, document, track, and validate defects through resolution.
• Test integrations across Microsoft Copilot, Copilot Studio, Power Automate, SharePoint, Teams, APIs, and related platforms.
• Validate data quality, data flows, and outputs used by AI applications and analytics solutions.
• Collaborate with developers, business stakeholders, and engineering teams to understand requirements and ensure solution quality.
• Develop and maintain automated test scripts and test frameworks where applicable.
• Support AI solution releases by ensuring quality, compliance, usability, and performance standards are met.
• Provide feedback to improve AI models, prompts, workflows, and user experience.
• Contribute to continuous improvement of AI testing processes, quality metrics, and best practices.
• Work Experience

Required Competencies & Skills

• Hands-on experience in workflow automation development.
• Experience in dashboard development or data analysis.
• Strong problem analysis and problem-solving abilities.
• Excellent cross-departmental communication and collaboration skills.
• Ability to translate business requirements into digital solutions and continuously improve processes.
• Proficiency in AI development, software design, and software system development.

Preferred / Bonus Qualifications

• Project experience with Microsoft Copilot or Copilot Studio.
• Application development experience with Azure OpenAI, Generative AI, or AI Agents / Chatbots.
• Experience in SharePoint application development and Business Process Automation (BPA).
• Familiarity with engineering organization workflows, product development processes, or NPI (New Product Introduction).
• Experience in Hardware Development or Engineering Lifecycle Management.

AI Software Developer P-122684

Job Requirements

Key Responsibilities

• Design, develop, and implement AI-powered applications and features, including conversational assistants, intelligent search, recommendation systems, and content generation solutions.
• Build and optimize machine learning and Generative AI models by participating in data preparation, feature engineering, model training, evaluation, and deployment activities.
• Develop solutions leveraging Large Language Models (LLMs), prompt engineering techniques, Retrieval-Augmented Generation (RAG), and agent-based AI frameworks.
• Integrate AI capabilities into commercial products and platforms, ensuring high standards of performance, reliability, scalability, and security.
• Create and maintain data pipelines, model management workflows, and monitoring tools to support efficient AI development and operations.
• Collaborate closely with Product, UX, Engineering, QA, Platform, and Hardware teams to define requirements, deliver features, and enhance user experiences.
• Monitor and improve deployed AI solutions through continuous evaluation of model accuracy, latency, resource utilization, and customer feedback.
• Stay current with advancements in artificial intelligence, machine learning, and Generative AI technologies, and apply them to solve real-world business and technical challenges.

Work Experience

• Demonstrated expertise in Python and a strong grasp of common ML/LLM workflows; proficiency in either JavaScript, C#, or C++ is highly desirable.
• Robust foundation in software engineering, encompassing version control (Git), software design principles, and unit testing.
• Effective communication and technical documentation abilities, with a proven history of delivering top-notch outcomes within set timelines.
• Proactive team player who excels in collaborating across departments and translating intricate technical concepts into actionable development strategies.

Technical Program Manager – New Technology Enabling P-122683

Job Requirements

Key Responsibilities

• Manages and leads programs involving one or more functions and project teams to drive the engineering development and implementation process for a subsystem or component of a product or service offering.
• Work with Marketing and stakeholders to understand objectives and translate them into engineering requirements.
• Partner with product planners and FW leaders to prioritize based on customer value, feasibility, and timeline constraints.
• Lead proof-of-concept projects to explore new technologies and innovative firmware solutions.
• Coordinates activities of supporting project teams and internal and external development partners.
• Tracks progress against established plans and makes decisions to alter or update schedules and resource allocation to meet product requirements and development timelines.
• Scope POCs with engineering leads; define success criteria and test plans.
• Coordinate HW/FW setup, vendor collaboration, and cross-team collaboration; capture results and root cause data to inform go/no-go decisions.
• Align architects, developers, test teams, ODM partners, and PMO on scope, interfaces, and definition of done; lead structured issue triage and decision forums.
• Negotiate options and trade-offs across cost, feature, and availability; document decisions and downstream impacts for NPI and sourcing.
• Drive adoption of AI-enabled engineering practices to improve product quality, development efficiency, and decision-making.
• Identify opportunities to leverage Generative AI, Machine Learning, and Agentic AI solutions within firmware, validation, automation, and product development workflows.
• Collaborate with AI/ML teams to evaluate emerging technologies and integrate AI-powered capabilities into products, platforms, and engineering processes.
• Lead AI-focused proof-of-concepts and pilot programs, including defining business value, success metrics, risk assessment, and scalability plans.
• Utilize data analytics, predictive insights, and AI-driven dashboards to proactively identify program risks, schedule impacts, quality concerns, and resource constraints.
• Drive engineering productivity through AI-assisted code generation, test case generation, defect analysis, root cause identification, and automation initiatives.
• Establish governance, compliance, security, and responsible AI practices for AI-enabled solutions across engineering programs.
• Work with stakeholders to develop AI adoption roadmaps, business cases, ROI analysis, and technology investment recommendations.
• Monitor industry trends in AI, edge computing, intelligent systems, and automation technologies and evaluate their applicability to future product roadmaps.

Work Experience

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.
• 8+ years leading engineering programs (hardware, firmware, software, or AI-driven solutions) in matrixed environments.
• Demonstrated experience coordinating and directing matrixed teams and resources.
• Strong understanding of desktop and notebook PC architecture.
• Experience with embedded systems, BIOS, Embedded Controller, UEFI, and low-level hardware interactions.
• Ability to effectively communicate program plans, proposals, and results, and negotiate options at management levels.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Proven track record of delivering high-quality firmware, software, or AI-enabled solutions in a fast-paced, dynamic environment.
• Experience with security aspects of firmware, such as secure boot and firmware update mechanisms.
• Familiarity with Agile development methodologies.
• Previous experience working with ODMs and third-party vendors.

Preferred AI & Emerging Technology Skills

• Experience leading AI, Machine Learning, Generative AI, LLM, or Intelligent Automation initiatives.
• Strong understanding of AI/ML lifecycle, model evaluation, prompt engineering, RAG (Retrieval Augmented Generation), and Agentic AI concepts.
• Experience leveraging AI tools such as GitHub Copilot, Microsoft Copilot, OpenAI, Azure AI Services, or similar platforms to improve engineering productivity.
• Knowledge of AI-assisted software development, automated test generation, intelligent defect classification, and predictive quality analytics.
• Demonstrated ability to drive organizational AI adoption and digital transformation initiatives across engineering teams.