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Artificial Intelligence Engineer

AICanadaRemoteFull-timeCAD 90,000 – 150,000

Help design, develop, and improve the AI systems behind our platform. You will work on applied machine learning problems involving NLP, neural networks, pattern recognition, financial data understanding, and intelligent automation.

What you'll do

  • Design and develop AI/ML models for financial analysis and trading-related intelligence
  • Build and optimize NLP systems for summarization, sentiment analysis, information extraction, and financial text understanding
  • Develop neural network and pattern recognition solutions for market-related use cases
  • Work with structured and unstructured data, including market data, news, financial documents, and research content
  • Collaborate with software engineers to integrate AI systems into production
  • Evaluate model quality through testing, experimentation, and iterative improvement
  • Improve system performance, scalability, reliability, and efficiency
  • Continuously research and apply modern methods in machine learning, LLMs, and intelligent systems

What we're looking for

  • Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Strong expertise in machine learning, pattern recognition, and neural networks
  • Hands-on experience with Natural Language Processing (NLP) methods and tools
  • Strong programming ability in Python
  • Solid computer science and software development fundamentals
  • Experience building and improving AI/ML systems beyond purely academic coursework
  • Strong problem-solving ability and comfort working with complex datasets
  • Ability to collaborate effectively in a remote, multidisciplinary team environment

Nice to have

  • Experience with LLMs, AI agents, retrieval systems, or applied generative AI
  • Experience with PyTorch, TensorFlow, scikit-learn, Hugging Face, or similar frameworks
  • Familiarity with backend integration, APIs, cloud deployment, and production systems
  • Experience in financial technology, market data, trading systems, or quantitative workflows
  • Startup experience or comfort working in a fast-moving environment