LLM Engineer

Mindlance; Toronto; Hybrid; CAD 55,104 - 68,880; Full time

Job summary

A leading tech staffing company in Toronto is seeking an experienced LLM Engineer. This hybrid role involves building next-generation AI agents and working with large-scale AI models, requiring strong expertise in prompt engineering and production-grade pipelines. Candidates should have a Master's degree and 3-5 years of relevant experience, along with proficiency in Python and major AI tools. The position offers a 12-month contract with competitive pay ranging from CA$40.00 to CA$50.00 per hour.

Qualifications

• 3-5 years of experience working with LLMs, NLP, or AI-driven automation.
• Experience in fine-tuning large-scale models and optimizing inference efficiency.
• Familiarity with prompt tuning.

Responsibilities

• Build Smarter, Next-Generation AI Agents alongside World-Leading AI Labs.
• Expand into autonomous AI systems and agent-based workflows.
• Integrate large-scale models.

Skills

Proficiency in Python

Proficiency in PyTorch

Proficiency in TensorFlow

Knowledge of LangChain

Knowledge of LangGraph

Knowledge of Hugging Face

Education

Master's degree in Mathematics, Physics, Computer Science, or a related field

Tools

DeepEval/testing frameworks

Vector databases

Knowledge graphs

Job description

Base pay range

CA$40.00/hr - CA$50.00/hr

Direct message the job poster from Mindlance

Hiring: LLM Engineers in Toronto! Be part of a fast-scaling team building Smarter, Next-Generation AI Agents alongside World-Leading AI Labs.

Duration: 12 Months

Location: Toronto, ON (Hybrid)

Job Role: We are actively ramping up for Agentic AI and LLM Engineer positions as our clients expand into autonomous AI systems, agent-based workflows, and large-scale model integration. Strong expertise in LLMs, prompt engineering, DeepEval/testing frameworks, and production-grade AI pipelines is now in high demand.

Requirements

• Master’s degree in Mathematics, Physics, Computer Science, or a related field
• 3-5 years’ of experience working with LLMs, NLP, or AI-driven automation.
• Proficiency in Python, PyTorch, TensorFlow, LangChain, LangGraph, and Hugging Face.
• Experience in fine-tuning large-scale models and optimizing inference efficiency.
• Familiarity with vector databases, knowledge graphs, and prompt tuning.

Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

Seniority level

Associate

Employment type

Contract

Job function

Analyst

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