Advance AI agents and knowledge graphs at Huawei Canada through Python engineering, LLM workflows, and telecom network research. This is a 12-month contract.
As a Researcher, you will investigate LLMs, multi-agent systems, ontology-driven reasoning, and knowledge graphs for telecom and optical network data. You will design and evaluate AI workflows for network operations, self-healing, root-cause analysis, and digital twins. The work includes research exploration and technical documentation.
Key Responsibilities:
Explore LLM and knowledge graph applications for network data
Design and evaluate AI agents and LLM-powered workflows
Build demos, prototypes, and proof-of-concept systems collaboratively
Integrate ontology models, schemas,
and agent tools
Embed AI models into near-production systems
Requirements:
Master’s degree in a related field preferred
Bachelor’s candidates need solid relevant project experience
Robust Python coding and software engineering skills
Familiarity with C/C++ or other systems languages
Hands-on LLM, ontology, and knowledge graph experience
Apply research, Python, LLM, ontology, and knowledge graph expertise to Huawei Canada’s optical networking challenges.
J-18808-Ljbffr