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Intern - AI Agent Tool Development

Reposted 13 Days Ago
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In-Office
Beijing
Internship
In-Office
Beijing
Internship
Develop and test AI Agent tools for board-level power supply design, including topology selection, component recommendations, and design-rule checks. Analyze requirements, engineer prompts, verify functionality, evaluate power solutions, test components, maintain a power-design knowledge base, and prepare documentation and reports.
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About this opportunity:
Join our Power Engineering team and participate in cutting-edge AI Agent tool development. You will work closely with experienced engineers, leveraging AI technology to empower board-level power supply design processes while gaining in-depth understanding of power system design and verification practices.
What you will do:
  1. Assist engineers in the development and iteration of board-level power supply AI Agent tools, including but not limited to:
  • Power topology selection assistant Agent
  • Component parameter query and recommendation Agent
  • Power Design Rule Check (DRC) automation Agent
  1. Participate in AI Agent requirements analysis, functional design, Prompt engineering, and testing/verification.
  2. Assist engineers in power solution evaluation, including comparative analysis across dimensions such as efficiency, thermal design, and cost.
  3. Assist in selection verification and characterization testing of key power components (DC-DC, LDO, MOSFET, etc.).
  4. Organize and maintain the power design knowledge base to provide domain data support for AI Agents.
  5. Write development documentation and test reports, and track project progress.

The skills you bring:
  1. Currently enrolled undergraduate or graduate student in Electronic Engineering, Electrical Engineering, Computer Science, or related fields.
  2. Solid foundation in analog and digital circuits; familiar with basic power topologies (Buck, Boost, Buck-Boost, LDO, etc.).
  3. Proficient in using AI development tools (e.g., Kiro) with Prompt writing and debugging capabilities.
  4. Strong interest in AI Agent development; willing to proactively learn LLM applications and Agent framework technologies.
  5. Basic programming skills (Python preferred); able to write scripts for data processing and automation tasks.

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