Senior Assessor (Ontario)

BGIS; Markham; On-site; CAD 148,000 - 218,000; Full time

Job summary

Huawei Canada is seeking a Researcher for a 12-month contract to design and implement agentic applications enabling AI to interact with external tools, APIs, and computer environments. The role focuses on experimenting with methods to advance agentic workflows using the latest LLM advancements and autonomous agent systems.

You will work closely with AI researchers, engineers, and UX/UI designers to explore novel human-AI interactions, tackle challenges related to reliability, context management,

Qualifications

• PhD, Master, or Bachelor graduates in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Software Engineering, or related field.
• Familiarity with LLM APIs and prompt engineering is required.
• Strong analytical skills and quick learning in AI technologies.

Responsibilities

• Design and implement agentic applications enabling AI to interact with external tools and APIs.
• Experiment with novel methodologies to improve task execution using LLMs and autonomous agents.
• Collaborate with AI researchers, engineers and UX/UI designers on human-AI interaction projects.
• Address agent reliability, context-window management and error recovery.
• Evaluate performance, token efficiency and latency of agentic interactions to meet standards.

Skills

LLM APIs familiarity

Prompt engineering

Algorithms and data structures

Linux experience

Education

PhD/Master/BSc in CS/EE/ML/AI/SE

Tools

Linux

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.

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.

About the ideal candidate

PhD, Master, or Bachelor graduates in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Software Engineering, or a related field.

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.