Researcher – Agentic Interaction Engineering
About The Position
Huawei Canada has an immediate 12-month contract opening for a Researcher. The Huawei Human-Machine Interaction Lab unites global researchers, engineers, and designers to redefine human technology relationships through user centered, hands on research. We focus on agentic AI and multimodal interaction (voice, touch, vision, gesture) across smartphones, wearables, and emerging devices—advancing agentic workflows, multi-agent orchestration, and intuitive human-AI interfaces. By tightly integrating sensing, algorithms, and systems, our prototype driven work ships directly to products, enabling seamless task delegation and human AI collaboration at scale.
Requirements
- PhD, Master, or Bachelor graduates in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Software Engineering, or a related field.
- Strong programming skills in high-level languages essential for AI development (e.g., Python, JavaScript/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
- Understanding of agentic frameworks, function calling/tool use, Model Context Protocol (MCP) integrations, or experience managing agent gateways in Linux environments is considered as an asset.
Responsibilities
- Design and implement agentic applications that allow AI to dynamically interact with external tools, APIs, and computer environments.
- Experiment with and implement novel methodologies and techniques (e.g., harness engineering) to enhance task execution, leveraging the latest advancements in Large Language Models (LLMs) and autonomous agent systems.
- Work closely with AI researchers, engineers, 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.
- Evaluate and improve 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, multi-agent systems, and human-AI teaming, and suggest innovative ideas for agent self-improvement projects.
Benefits
- The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 - $156,000 depending on education, experience, and demonstrated expertise.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
