Researcher – Agentic Interaction Engineering

Huawei Canada; Markham; On-site; CAD 106,000 - 156,000; Full time

Job summary

Huawei Canada is seeking a Researcher for a 12-month contract. This role involves designing and implementing AI applications, collaborating with engineers and designers, and staying ahead of trends in autonomous systems. The ideal candidate will have a strong educational background in relevant fields and advanced programming skills. The compensation ranges from $106,000 to $156,000 annually, based on experience and expertise.

The Huawei Human-Machine Interaction Lab focuses on redefining human technology relationships and delivering innovative human-AI collaboration solutions.

Qualifications

• Strong programming skills in high-level languages essential for AI development.
• Excellent analytical skills and ability to adapt to evolving AI technologies.
• Passion for artificial intelligence and autonomous systems.

Responsibilities

• Design and implement agentic applications for AI interactions.
• Experiment with novel methodologies to enhance task execution.
• Work with researchers, engineers, and designers on AI interaction projects.

Skills

Programming in Python

Programming in JavaScript/TypeScript

Programming in C++

Understanding of algorithms

Familiarity with data structures

Familiarity with LLM APIs

Education

PhD, Master's, or Bachelor's in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Software Engineering

Job description

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.

total target annual compensation (based on 2,080 hours per year) ranges from $106,000 - $156,000 depending on education, experience, and demonstrated expertise.

Job 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 an asset.

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.