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AI Engineer (新鮮人友善 / RF)

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A leading technology organisation in Taipei is seeking an AI Engineer to join their forward-thinking team, welcoming both experienced professionals and recent graduates who are passionate about artificial intelligence and hardware design. This role offers a unique opportunity to work at the intersection of AI architecture and consumer device hardware, driving advancements in performance and efficiency.

Salary: Competitive and based on experience

Location: Taipei

Keywords: collaborative, supportive leadership, inclusive, flexible working opportunities, training opportunities, dependable, knowledgeable, enthusiastic

You will be part of a supportive environment that values collaboration, knowledge sharing, and continuous learning, with access to flexible working arrangements and ongoing training opportunities. The organisation is committed to fostering an inclusive workplace where your ideas are valued and your growth is supported, making this an ideal setting for those eager to contribute to cutting-edge projects while developing their skills alongside knowledgeable colleagues.

  • Work on pioneering AI-driven solutions that accelerate hardware design processes for consumer devices, focusing on areas such as antenna and radio frequency optimisation.
  • Join a collaborative team environment that encourages knowledge sharing, professional development, and provides access to industry-leading resources and training.
  • Benefit from flexible working opportunities and supportive leadership dedicated to helping you grow your expertise in AI models, wireless communications, and signal analysis.

What you'll do:

As an AI Engineer based in Taipei, you will play a pivotal role in advancing the organisation’s capabilities in hardware design through the application of artificial intelligence. Your day-to-day activities will involve implementing sophisticated AI system architectures that facilitate end-to-end simulations, collaborating with hardware engineers to interpret simulation data, and ensuring alignment between theoretical models and practical results. You will also engage in extensive research across multiple domains—such as wireless communications and antenna theory—to support project innovation. By preparing materials for academic conferences and industry exhibitions, you will help showcase the organisation’s achievements while staying abreast of emerging trends. Success in this position requires a keen analytical mindset, strong interpersonal skills for effective teamwork, and a commitment to continuous learning within a supportive environment.

  • Utilise advanced AI architectures to streamline and enhance the hardware design workflow for consumer devices, with a particular emphasis on improving antenna and radio frequency performance.
  • Implement comprehensive end-to-end AI system simulations that enable accurate modelling of complex hardware interactions.
  • Collaborate closely with hardware engineers to analyse simulation data, ensuring consistency between simulated results and real-world measurements once physical prototypes are developed.
  • Conduct thorough literature reviews and analyses across domains including AI models, wireless communication technologies, and antenna theory to inform project direction.
  • Prepare detailed reports and presentations for academic conferences and industry exhibitions, summarising key findings and technological advancements.
  • Perform comparative analyses of commercial solutions using SWOT methodologies to evaluate technical strengths and market positioning.
  • Investigate the origins of relevant research papers and compare proposed solutions to identify best practices within the field.
  • Analyse technical offerings from exhibition vendors to assess innovation trends and potential applications for future projects.
  • Support the integration of new AI-driven approaches into existing workflows by sharing insights with cross-functional teams.
  • Contribute actively to team discussions by providing thoughtful feedback on simulation outcomes and suggesting improvements based on empirical data.

What you bring:

Your proven experience as an AI Engineer will be characterised by your ability to apply advanced artificial intelligence techniques within hardware design contexts. You bring a solid foundation in machine learning methods as well as genetic algorithm applications that enable innovative problem-solving approaches. Your familiarity with antenna principles and radio frequency systems allows you to bridge the gap between theoretical models and practical implementations. In addition to your technical acumen, you possess excellent interpersonal skills that foster productive collaboration with colleagues from diverse backgrounds. Your enthusiasm for research ensures you stay informed about the latest developments in AI models, wireless communications, and signal analysis—contributing valuable insights during team discussions. With a commitment to continuous improvement supported by generous training opportunities, you are well-positioned to thrive in this role while making meaningful contributions to both project success and organisational growth.

  • Demonstrated proficiency with mainstream AI models coupled with hands-on implementation experience across various platforms.
  • Solid understanding of machine learning principles as well as genetic algorithms—including their adaptations—for solving complex engineering problems.
  • Familiarity with fundamental concepts related to antennas and radio frequency systems within consumer electronics applications.
  • Ability to conduct comprehensive literature reviews spanning topics such as AI model development, wireless communication protocols, and antenna theory.
  • Experience preparing technical documentation for academic or industry audiences, including conference presentations or exhibition reports.
  • Skill in analysing simulation data collaboratively with hardware engineers to ensure accuracy between predicted outcomes and actual measurements.
  • Capacity for critical comparison of commercial solutions using structured methodologies like SWOT analysis.
  • Strong interpersonal communication abilities enabling effective collaboration within multidisciplinary teams.
  • Enthusiasm for participating in knowledge-sharing sessions aimed at enhancing collective expertise across the organisation.
  • Commitment to personal growth through ongoing training opportunities provided by the employer.

What sets this company apart:

This organisation stands out as a leader in technology innovation within Taipei’s vibrant tech ecosystem. Employees benefit from a culture rooted in collaboration, inclusivity, and mutual respect—where every voice is heard regardless of background or experience level. The company places significant emphasis on professional development through regular training sessions designed to expand your skill set while keeping you engaged with the latest industry trends. Flexible working arrangements allow you to balance personal commitments with career ambitions without compromising productivity or wellbeing. Supportive leadership ensures that guidance is always available when needed; mentorship programmes further reinforce your growth trajectory by connecting you with knowledgeable peers eager to share their expertise. By joining this team, you become part of a network dedicated not only to technological advancement but also to nurturing talent through shared learning experiences—making it an ideal environment for those seeking long-term career fulfilment alongside impactful work.

What's next:

If you are enthusiastic about shaping the future of AI-driven hardware design while growing your expertise within a supportive team environment, this is your chance to make a difference—apply now!

Apply today by clicking on the link provided below.

Contract Type: Perm

Specialism: Software

Focus: Data & AI

Industry: IT

Salary: TWD1,500,000 - TWD2,500,000 per annum

Workplace Type: On-site

Experience Level: Associate

Location: Taipei

Job Reference: AM35PJ-38342D5E

Date posted: 22 January 2026

Consultant: Cassie Tsai