# Researcher – Agentic Interaction Engineering at Huawei Technologies Canada Co., Ltd. > Onsite · Canada · Unspecified · Other · open. Source: https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2618341 (read 2026-11-09). ## Facts (observed) - Company: [Huawei Technologies Canada Co., Ltd.](https://alderhq.app/companies/huawei-technologies-canada-co-ltd) - Location text: Markham, Ontario, Canada - Where it can be done from (inferred): Onsite · Canada (evidence: "Location: Markham, Ontario, Canada") - Posted: 2026-06-01 (160 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://huaweicanada.recruitee.com/o/researcher-agentic-interaction-engineering - Skills listed (inferred): TypeScript, JavaScript, Python, C++, LLMs ## Pay and sponsorship - Posted pay: CAD 106k–CAD 156k per year (from the description) - Market band for similar posted roles (Canada, n 852): p25 CAD 54k, median CAD 78k, p75 CAD 121k ## Description (the employer's text) Huawei Canada has an immediate 12-month contract opening for a Researcher. ### About the team 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. ### About the job 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. 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. ### Requirements ### About the ideal candidate 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. 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. ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Ahuaweicanada%3A2618341 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.