Senior Applied AI Engineer
HybridMontréal, Quebec, Canada
Job Summary
Design and build the core of Floyd's agentic system, including prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration, and evaluation. Collaborate with Data Engineers to construct ML and AI-serving pipelines on Databricks while developing the Python SDK and Gradio- and React-based front ends. Maintain production-grade reliability, latency, cost, and monitoring within strict financial security and data-governance standards. Partner closely with investment professionals to drive adoption and translate their feedback into product improvements. Leverage AI coding agents to accelerate development from prototype to production. This role offers high agency in shaping a flagship AI platform at one of Canada's largest pension investment managers, with direct impact on how investment decisions are researched.
Required Qualifications
- Five (5) years or more building and shipping production software and/or ML systems
- Production experience building and deploying LLM applications at scale
- Expert in Python (mandatory)
- Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling
- Strong in JavaScript/TypeScript — comfortable building both a Python SDK and a Gradio or React front end
- Hands-on experience with Databricks for data engineering, data science and/or model serving
- Comfortable across cloud platforms — we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)
- Expert user of AI coding agents such as Claude Code and/or Codex
- Bilingualism: English and French
Desired Qualifications
- High agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindset
- Excellent communication — you can translate between domain experts and engineers and explain complex ideas simply
- Experience with tabular data and time-series manipulation
- Traditional (classical) ML experience beyond LLMs
- Experience in financial services, asset management or capital markets, or with investment-research workflows
- MLOps and platform experience (CI/CD, containers, Kubernetes/AKS)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.