Remote Lead Data Scientist: Production AI for Enterprise Ops

Auxo | Growth Partner; Canada; On-site; CAD 140,000 - 160,000; Full time

Job summary

Auxo | Growth Partner is seeking 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 with ownership of production agentic AI systems.

You will design and deploy LLM-based applications, develop multi-step workflows with RAG and tool calling, and mentor teammates while collaborating with product and engineering on data pipelines and architecture.

Qualifications

• Strong background in data science, ML, or applied AI.
• Hands-on experience building and deploying production LLM or agentic AI apps.
• Experience with RAG, AI agents, tool or function calling, and multi-step orchestration.
• Strong Python skills in production codebases.
• Solid foundation in ML, experimentation, and model evaluation.

Responsibilities

• 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 for quality, reliability, latency, and cost.
• Provide technical leadership and mentorship while remaining hands-on.

Skills

Data science

Machine learning

Python

Production systems

Leadership

Communication

Tools

LangChain

LangGraph

LlamaIndex

Docker

CI/CD

Vector databases

Job description

Auxo | Growth Partner is seeking 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 with ownership of production agentic AI systems.

You will design and deploy LLM-based applications, develop multi-step workflows with RAG and tool calling, and mentor teammates while collaborating with product and engineering on data pipelines and architecture.