Co-op Researcher - Agentic Interaction Engineering
About The Position
Huawei Canada has an immediate co-op opening for a Researcher. The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.
Requirements
- Currently pursuing a Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field, and registered with the school’s co-op program.
- Strong programming skills in high-level languages essential for AI development (e.g., Python, TypeScript, C++).
- Familiarity with algorithms, data structures, LLM APIs, and prompt engineering.
- Excellent analytical skills and the ability to learn quickly and adapt to the rapidly evolving landscape of AI technologies.
- Passion for artificial intelligence, autonomous systems, and creating next-generation interfaces designed specifically for human-AI collaboration.
Nice To Haves
- Basic understanding of agentic frameworks, function calling/tool use, Model Context Protocol (MCP) integrations, or experience managing agent gateways in Linux environments is an asset.
Responsibilities
- Assist in the design and implementation of agentic applications that allow AI to dynamically interact with external tools, APIs, and computer environments, enabling proactive, goal‑driven, and context‑aware behaviors.
- Experiment with and implement novel harness engineering techniques to enhance task execution, leveraging the latest advancements in Large Language Models (LLMs) and autonomous agent systems, where intelligent agents can initiate actions, make decisions, and collaborate with users (e.g., task automation, just‑in‑time assistance, cross‑application reasoning).
- Work closely with senior engineers, AI researchers, and UX/UI designers on projects exploring novel human-AI interactions.
- Apply strong problem-solving skills to develop efficient solutions for complex technical challenges, including agent reliability, context-window management, and error recovery. Tackle challenges in agent memory, planning, tool use, and on‑device inference to create efficient, trustworthy agentic experiences.
- Help in evaluating and improving the performance, token efficiency, and reasoning latency of agentic interactions, ensuring they meet strict performance standards and user needs.
- Stay informed about the latest trends and advancements in autonomous agents, agent self-improvement, multi-agent systems, and human-AI teaming, and suggest innovative ideas for future projects.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
