Location:

Canada, Remote (Preferably based in Montreal, Toronto, or Ottawa) Salary:

$140,000 to $160,000 Type:

Full-time Auxo is hiring a

Lead Data Scientist

for an early-stage AI company building enterprise automation tools for finance, operations, and back-office teams. This is a hands-on technical leadership role. You will own the development of production agentic AI systems that interpret business processes, work across enterprise tools, and automate complex workflows. You will help set the technical direction while remaining deeply involved in building, testing, and deploying the product. What You’ll Do

Design and deploy production applications using LLMs and agentic AI. Build multi-step workflows involving RAG, tool calling, orchestration, and structured outputs. Develop evaluation, monitoring, guardrail, and human-in-the-loop systems. Turn business processes and SOPs into reliable AI-powered workflows. Own projects from early experimentation through production deployment. Partner with product and engineering on architecture, infrastructure, and data pipelines. Evaluate models, frameworks, and tools based on quality, reliability, latency, and cost.



Provide technical leadership and mentorship while remaining hands-on. Who You Are

Solid professional background in data science, machine learning, or applied AI. Recent hands-on experience building and deploying production LLM or agentic AI applications. Experience with RAG, AI agents, tool or function calling, and multi-step orchestration. Strong Python skills and experience working within production codebases. Solid foundation in machine learning, experimentation, and model evaluation. Experience monitoring and improving AI or ML systems in production. Comfortable taking ownership in an ambiguous, early-stage environment. Able to lead technical projects and communicate effectively across product, engineering, and leadership. Experience with LangGraph, LangChain, LlamaIndex, or similar frameworks. Experience with vector databases, document processing, and retrieval systems. Familiarity with LLM observability and evaluation tools. Experience with Docker, cloud infrastructure, and CI/CD. Background in enterprise automation, workflow software, or B2B SaaS.

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📌 Lead Data Scientist (Winnipeg)
🏢 Auxo | Growth Partner
📍 Winnipeg