Researcher – Agentic Interaction Engineering

<p><strong><span style="font-size:1.2em"><span style="color:#121317">Huawei Canada has an immediate 12-month contract opening for a Researcher.</span></span></strong><span style="color:#121317"> </span></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.2em"><span style="color:#121317">About the team:</span></span></strong></p><p class="p"><span style="font-size:0.9em"><span style="color:#0E101A">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.</span></span></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.2em"><span style="color:#121317">About the job:</span></span></strong></p><ul><li><p class="MsoPlainText"><span style="color:#121317">Design and implement agentic applications that allow AI to dynamically interact with external tools, APIs, and computer environments.</span></p></li><li><p class="MsoPlainText"><span style="color:#121317">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.</span></p></li><li><p class="MsoPlainText"><span style="color:#121317">Work closely with AI researchers, engineers, and UX/UI designers on projects exploring novel human-AI interactions.</span></p></li><li><p class="MsoPlainText"><span style="color:#121317">Apply strong problem-solving skills to develop efficient solutions for complex technical challenges, including agent reliability, context-window management, and error recovery.</span></p></li><li><p class="MsoPlainText"><span style="color:#121317">Evaluate and improve the performance, token efficiency, and reasoning latency of agentic interactions, ensuring they meet strict performance standards and user needs.</span></p></li><li><p class="MsoPlainText"><span style="color:#121317">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.</span></p></li></ul><p style="min-height: 1.7em;"></p><p><span style="color:#121317">The </span><strong><span style="color:#121317">total target annual compensation</span></strong><span style="color:#121317"> (based on 2,080 hours per year) ranges from $106,000 - $156,000 depending on education, experience, and demonstrated expertise.</span></p>