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AI Platform Engineer

2 weeks ago

Markham, Ontario, Canada Huawei Full time
Job Overview:

Huawei is a leading technology company that is committed to driving innovation and progress in the fields of artificial intelligence, cloud computing, and 5G networks. We are currently seeking a highly skilled Principal Software Engineer to join our team and contribute to the development of next-gen AI-enabled PaaS platform.

About the Role:

This is an exciting opportunity for a seasoned software engineer to work on the development of next-gen AI-enabled PaaS platform, including AI toolings, application platform, and application integration services. You will collaborate closely with a team of experts, including AI researchers and PaaS engineers, for integrating advanced AI features into existing solutions. Your key responsibilities will include analyzing, investigating, and implementing GenAI solutions for Cloud Service features and technologies focusing on Agentic Orchestration and Agent Builder frameworks.

Key Responsibilities:
  • Analyze, investigate, and implement GenAI solutions for Cloud Service features and technologies.
  • Collaborate closely with a team of experts, including AI researchers and PaaS engineers, for integrating advanced AI features into existing solutions.
  • Work on the development of next-gen AI-enabled PaaS platform, including AI toolings, application platform, and application integration services.

What We're Looking For:

We are seeking a highly motivated and experienced individual who has 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. You should have a solid understanding of AI LLM, deep learning principles, and their application in NLP, as well as hands-on experience with ANNs (e.g., RNN, LSTM, GRU, and etc.) and deep learning frameworks (e.g., TensorFlow, PyTorch, and etc.). In addition, you should have expertise in advanced Generative AI tools and concepts, including Transformers, LLM, Fine-tuning, (Graph) RAG, and Vector Databases. Excellent communication and organization skills, attention to detail, and ability to multi-task under considerable pressure and changing priorities are also essential. A Master's degree in computer science or a related field is required; a PhD degree is an asset.

Requirements:
  • 4+ years of Agent/Multi-agent, Deep Learning, NLP, and GenAI development experience.
  • Practical knowledge of cloud services provided by vendors such as AWS and Azure.
  • Solid understanding of AI LLM, deep learning principles, and their application in NLP.
  • 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.