AI Solutions Engineer, ML & Data Pipelines

Jobtailor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a Machine Learning Engineer in Toronto, Canada, to design, develop, and deploy AI solutions across global operations. The role involves integrating LLMs and Agentic AI to address business needs, gathering stakeholder requirements, and collaborating with data engineers on content extraction and vector stores.

You will work on building robust data pipelines, optimize AI models for performance and reliability, and apply responsible AI practices with rigorous testing.

Qualifications

• Bachelor's degree in computer science, engineering, or related field; equivalent experience considered.
• 2+ years of experience in machine learning engineering and deploying AI solutions.
• Strong Python programming skills and production-grade AI code experience.
• Familiarity with LangChain, LangGraph, or OpenAI SDK; strong prompt engineering.

Responsibilities

• Design, develop, and deploy AI solutions for global operations.
• Leverage and integrate LLMs and Agentic AI to solve business problems.
• Gather requirements with business stakeholders and integrate AI with existing systems.
• Design with data engineers on content extraction, chunk loading, and vector stores.

Skills

Machine Learning

Python

LangChain

OpenAI SDK

API Development

Data Pipelines

Distributed Computing

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

Google Cloud

LangGraph

Job description

Jobtailor is seeking a Machine Learning Engineer in Toronto, Canada, to design, develop, and deploy AI solutions across global operations. The role involves integrating LLMs and Agentic AI to address business needs, gathering stakeholder requirements, and collaborating with data engineers on content extraction and vector stores.

You will work on building robust data pipelines, optimize AI models for performance and reliability, and apply responsible AI practices with rigorous testing.