Principal Software Engineer - AI Multi-agents/Agent Orchestration/GenAI

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading technology company in York Region, Canada, is seeking a Principal Software Engineer to develop an AI-enabled PaaS platform. The ideal candidate will have 4+ years of experience in Agent/Multi-agent and deep learning, with proficiency in Python, Rust, and SQL. A Master's degree in computer science is required, and a PhD is an asset. This role involves collaboration with AI researchers and requires strong analytical skills to implement GenAI solutions.

Qualifications

• 4+ years of experience with Agent/Multi-agent, Deep Learning, NLP, and GenAI.
• Strong foundation in algorithms, data structures, and object-oriented programming.
• Solid understanding of deep learning principles and hands-on experience with ANNs.

Responsibilities

• Develop next-gen AI-enabled PaaS platform.
• Collaborate with experts for integrating AI features.
• Analyze and implement GenAI solutions focusing on orchestration.

Skills

Agent/Multi-agent development

Deep Learning

NLP

GenAI development

Python

Rust

SQL

AI LLM

Education

Master's degree in computer science or a related field

PhD degree

Tools

TensorFlow

PyTorch

Agent Builder frameworks

Job description

Huawei Canadahas an immediate permanent opening for a Principal SoftwareEngineer.

About the team:

Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.

About the job:

• Development of next-gen AI-enabled PaaS platform, including AI Toolings, Application Platform and Application Integration Services.

• Collaborate closely with a team of experts, including AI researchers and PaaS engineers, for integrating advanced AI features into existing solutions.

• Analyze, investigate, and implement GenAI solutions for Cloud Service features and technologies focusing on Agentic Orchestration and Agent Builder frameworks.

• Conduct technical research and implementation and assist in development and deliveries.

About the ideal candidate:

• 4+ years of Agent/Multi-agent, Deep Learning, NLP and GenAI development experience, along with a practical knowledge of cloud services provided by vendors such as AWS and Azure.

• A strong foundation in algorithms, data structure, and object-oriented-programming along with proficiency in Python, Rust, and SQL.

• Strong knowledge of AI LLM.

• Solid understanding of Deep Learning principles with a focus on their application in NLP, along with hands-on experience with ANNs (e.g., RNN, LSTM, GRU, and etc.) and deep learning frameworks (e.g., TensorFlow, PyTorch, and etc.).

• Expertise in advanced Generative AI tools and concepts including Transformers, LLM, Fine-tuning, (Graph) RAG, and Vector Databases.

• Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.

• Excellent communication and organization skills, attention to detail, and ability to multi-task under considerable pressure and changing priorities.

• Master's degree in computer science or a related filed is required; PhD degree is an asset.