Intern Researcher - AI Agent

Huawei Canada has an immediate 12-month internship opening for an AI Agent Intern Researcher.

About the Team

The Technology Planning and Cooperation Department drives long-term technology strategy and frontier innovation across CARI.

Working alongside senior researchers, system architects, and industry experts, the team focuses on exploring next-generation AI technologies and intelligent systems, including foundation models, AI agents, embodied intelligence, and heterogeneous computing platforms.

The group operates at the intersection of technology foresight, advanced research, and prototype development, translating emerging ideas into experimental systems and early-stage technology prototypes.

This internship offers a unique opportunity to work on frontier AI topics while building real technical prototypes that may influence future platforms and products.

About the job:

We are looking for PhD Research Interns who are passionate about exploring cutting-edge AI technologies and building experimental prototypes.

The internship focuses on AI agents, foundation models, and intelligent systems, combining technology insight, research exploration, and system prototyping.

Interns will have the opportunity to work on cutting-edge topics such as AI agents, autonomous developer systems, and next-generation AI platforms, while building experimental prototypes that may influence future products and research directions.

Key responsibilities

• Track frontier developments in AI/ML, foundation models, AI agents, and AI systems to identify emerging technology opportunities.

• Analyze research papers and industry trends to generate technical insights and potential research directions.

• Contribute to internal research reports and briefings on emerging AI technologies and innovations.

• Design and develop experimental prototypes exploring new AI architectures and system concepts.

• Build early-stage systems related to AI agents, multi-agent systems, developer agents, and AI-native software platforms.

• Experiment with emerging frameworks, agent platforms, and LLM-based tool ecosystems.

• Develop and test LLM-powered applications, including agent workflows, tool-use, memory systems, and autonomous task planning.

• Collaborate with researchers and engineers to explore new ideas and present findings through prototypes, demos, and technical documentation.

The target annual compensation (based on 2080 hours per year) ranges from $58,000 to $104,000 depending on education, experience and demonstrated expertise.

Requirements

About the Ideal Candidate:

• Pursuing a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Systems, or a related field.

• Strong interest or experience in areas such as large language models, foundation models, AI agents, or autonomous systems.

• Familiarity with LLM-based applications, developer tools, or AI-native software platforms.

• Understanding of AI systems, distributed infrastructure, robotics, or embodied intelligence is a plus.

• Strong programming skills in Python, C++, Rust, or similar languages.

• Experience with machine learning frameworks or LLM APIs.

• Ability to read research papers and translate new ideas into prototypes and experiments.

• Self-motivated, curious about emerging technologies, and comfortable working in an exploratory research environment.