Overview
Machine Learning Engineer (LLMs) Jobs in Canada at Why Hiring
Title: Machine Learning Engineer (LLMs)
Company: Why Hiring
Location: Canada
A fast-growing AI company is building next-generation AI Agents designed to transform customer interactions into measurable business impact. The focus is on combining human intelligence with advanced AI systems to unlock insights, automate workflows, and elevate decision-making at scale.
This role sits within a team dedicated to developing cutting-edge AI Agent systems powered by Large Language Models (LLMs). The work centers on bringing advanced AI research into real-world, production-ready applications that are scalable, reliable, and cost-efficient.
About the Role
The AI Agent team is focused on developing state-of-the-art AI systems that address real-world business challenges. The work emphasizes the application of advanced Large Language Models (LLMs) and AI Agent frameworks, with a strong focus on building solutions that are scalable, secure, and cost-efficient.
This role involves hands-on contribution to cutting-edge initiatives, requiring machine learning engineers who can translate research advancements into practical, production-ready systems. As a Machine Learning Engineer, the primary objective is to bridge the gap between research and real-world deployment. Responsibilities include developing and deploying LLM-based solutions, scaling AI systems, and addressing key challenges such as evaluation, robustness, and reliability. While the focus is on applied AI rather than pure research, the work involves some of the most advanced technologies in the Generative AI space.
What You’ll Do
- Design, build, and deploy AI Agent systems and ML models
- Improve reasoning, planning, and evaluation capabilities in real-world AI systems
- Work closely with engineering teams to integrate AI into production environments
- Scale ML systems for performance, reliability, and cost-efficiency
- Tackle challenges in GenAI, LLM deployment, and system evaluation
- Contribute to shaping the roadmap of AI Agent development
What’s Being Looked For
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- ~1+ years of experience in machine learning or AI. (Strong projects or internships can also be considered for new grads)
- Solid understanding of ML fundamentals, especially NLP and Generative AI
- Experience with tools like PyTorch, TensorFlow, Hugging Face, NumPy
- Familiarity with cloud infrastructure and distributed systems is a plus
- Strong problem-solving mindset and ability to work across teams
- Interest in taking AI from theory into real-world applications
Why This Role Is Interesting
- Direct exposure to cutting-edge LLM and AI Agent systems
- Real production impact (not just notebooks that never see daylight)
- Opportunity to work on complex, high-scale AI challenges
- Room to grow into more senior responsibilities quickly
Location & Compensation
- Open to candidates based in the US and Canada (remote-friendly)
- Compensation includes base salary, equity, and additional benefits
- Salary varies depending on experience, skills, and location
