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

Huawei; Markham; On-site; CAD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Principal Software Engineer, where you'll lead the development of an innovative AI-enabled PaaS platform. This role involves collaborating with a team of experts to integrate advanced AI features, analyze GenAI solutions, and conduct technical research. With a strong emphasis on deep learning and NLP, you'll utilize your expertise in Python, Rust, and cloud services to drive impactful projects. If you're passionate about AI and eager to make a difference in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in Agent/Multi-agent, Deep Learning, NLP, and GenAI development.
• Master's degree in computer science required; PhD is an asset.

Responsibilities

• Develop next-gen AI-enabled PaaS platform with advanced AI features.
• Collaborate with AI researchers and PaaS engineers for integration.

Skills

Agent/Multi-agent Development

Deep Learning

Natural Language Processing (NLP)

Generative AI

Python

Rust

SQL

Cloud Services (AWS, Azure)

Deep Learning Frameworks (TensorFlow, PyTorch)

AI LLM

Education

Master's degree in Computer Science

PhD degree in a related field

Tools

TensorFlow

PyTorch

Lang Chain

Lang Graph

Job description

Our team has an immediate permanent opening for aPrincipal Software Engineer.

Responsibilities:

• 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.

What you’ll bring to the team:

• 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.