Co-op Engineer - AI Tooling & Agent

Huawei Technologies Canada Co., Ltd.Markham, ON

About The Position

Huawei Canada has an immediate co-op opening for an Engineer in the Technology Planning and Cooperation Department. This department promotes strategic innovation, researches new technologies, and engages in strategic planning to achieve Huawei's long-term vision. The role involves designing, building, and optimizing AI Coding Agents for autonomous planning, code writing, and debugging. It requires deep integration of AI coding tools like Claude Code and Codex, designing complex task workflows using agent frameworks, tracking LLM advancements, and establishing evaluation systems for AI tools.

Requirements

  • Undergraduate student majoring in Computer Science (CS).
  • Proficiency in programming languages such as Python, TypeScript, and Node.js.
  • Must be a "super user" of AI programming tools and able to demonstrate rapid completion of processes from requirement to deployment using tools like Claude Code.
  • Deep understanding of the operational mechanisms of large language models (LLMs), including token limits, hallucination handling, RAG (Retrieval-Augmented Generation), and the principles of semantic search.
  • Good code craftsmanship, able to write code architectures that are easy for AI to understand and maintain.
  • Familiarity with technical components such as vector databases, AI Agents, and Skills.
  • Ability to adapt to the daily update pace of technological changes in the AI field.
  • Strong sense of self-motivation and curiosity.

Responsibilities

  • Design, build, and optimize AI Coding Agents capable of autonomous planning, code writing, and debugging.
  • Utilize and deeply integrate cutting-edge AI coding tools such as Claude Code, Codex, and Antigravity, exploring their limits in complex engineering scenarios.
  • Design complex task workflows (Agentic Workflows) based on LangGraph or similar agent frameworks to address long-chain task automation.
  • Track the latest advancements in the LLM field and quickly translate them into usable tool features.
  • Establish an evaluation system for AI tools to improve the accuracy of agents in code generation and logical reasoning.
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