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Derivative Path

Applied AI Engineer

Derivative Path

Applied AI Engineer developing LLM-powered features for Derivative Path's financial platform. Collaborating with domain experts to design AI capabilities in a high-stakes environment.

Posted 6/18/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$110,000 - CA$150,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonPyTorch

About the role

Key responsibilities & impact
  • Build and ship LLM-powered features across the DerivativeEDGE platform, working directly with domain experts to translate complex financial workflows into reliable AI capabilities.
  • Design and implement agentic workflows that can reason, act, and recover gracefully across multi-step processes in a production environment.
  • Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context design, and data quality.
  • Move fluidly between experimentation and production. You will prototype quickly, evaluate honestly, and know when something is ready to ship.
  • Contribute to the AI Lab's broader technical direction, including evaluations, tooling, MLOps practices, and the patterns the team builds on.
  • Depending on where projects take you, work may also touch NLP, model fine-tuning, synthetic data, or reinforcement learning.

Requirements

What you’ll need
  • Building with LLMs: prompt engineering, RAG, fine-tuning, agents, or inference pipelines
  • Data engineering: designing and building pipelines that feed real workflows
  • ML or data science work, especially in complex or data-constrained environments
  • Working knowledge of Python and common AI/ML frameworks (PyTorch, HuggingFace, LangChain, or similar)
  • MLOps or production AI experience: getting models out of notebooks and into the real world
  • Cloud platform experience (Azure, AWS, or GCP)
  • Experience with reinforcement learning or financial derivatives is a bonus, not a baseline.

Benefits

Comp & perks
  • Competitive bonus, base salary, and equity compensation
  • 23 days of PTO
  • Fully remote
  • RRSP contribution at 3%
  • Competitive health benefits

ATS Keywords

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Hard Skills & Tools
LLMprompt engineeringRAGfine-tuningagentsinference pipelinesdata engineeringPythonPyTorchMLOps
Soft Skills
communicationcollaborationproblem-solvingadaptabilityevaluationprototyping