Co-op Engineer - AI Tooling & Agent

Posted 25 Days Ago
Be an Early Applicant
2 Locations
In-Office
58K-104K Annually
Internship
Information Technology • Other
The Role
The role involves designing and optimizing AI coding agents, integrating AI tools, and establishing evaluation systems for enhancing code generation accuracy.
Summary Generated by Built In

Huawei Canada has an immediate co-op opening for an Engineer.

About the team:

The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.

About the job:

  • Design, build, and optimize AI Coding Agents capable of autonomous planning, code writing, and debugging.

  • Proficiently 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.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • An undergraduate student majoring in Computer Science (CS), with proficiency in programming languages such as Python, TypeScript, and Node.js.

  • You must be a "super user" of AI programming tools. You should be able to demonstrate how to complete the process from requirement to deployment in an extremely short time using tools like Claude Code.

  • Have a 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.

  • Possess good code craftsmanship, able to write code architectures that are easy for AI to understand and maintain. Be familiar with technical components such as vector databases, AI Agents, and Skills.

  • Be able to adapt to the daily update pace of technological changes in the AI field, with a strong sense of self-motivation and curiosity.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

Skills Required

  • Undergraduate student majoring in Computer Science
  • Proficiency in Python, TypeScript, and Node.js
  • Super user of AI programming tools
  • Deep understanding of large language models operational mechanisms
  • Good code craftsmanship and ability to write maintainable architecture
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The Company
HQ: Markham, Ontario
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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