Machine Learning Engineer (LLMs)

Location: Edmonton, AB (Hybrid)

We are working with a growing organization in Edmonton that is expanding its AI capabilities and looking to add a Machine Learning Engineer to the team. This role is focused on applying and integrating existing large language models to build real-world, production-ready solutions rather than developing new models from scratch.

This is a hands-on opportunity for someone who enjoys working with modern AI tools and turning them into practical applications that deliver real business value.

What you will be doing

• Build and deploy applications powered by large language models and generative AI tools
• Integrate AI capabilities into internal systems and customer-facing applications
• Design and implement solutions using prompt engineering, embeddings, and retrieval-augmented generation (RAG)
• Work with APIs and external AI services to deliver scalable functionality
• Develop and maintain supporting data pipelines and workflows
• Collaborate with engineering and product teams to bring AI features into production
• Monitor and optimize performance, cost, and reliability of AI-driven applications

What you bring

• 2 to 5 years of experience in machine learning and AI exposure
• Strong programming skills in Python
• Hands-on experience working with LLMs or generative AI tools in an applied setting
• Experience integrating APIs and third-party services into applications
• Solid understanding of machine learning fundamentals and how models are used in production
• Comfortable working in a collaborative, fast-paced environment

Nice to have

• Experience with LLM frameworks such as LangChain or similar tooling
• Familiarity with cloud platforms like AWS, Azure, or GCP
• Exposure to MLOps or deployment workflows
• Experience building backend services or production applications

Why this opportunity stands out

• Focus on applied AI work that is actively used in the business, not research-based
• Opportunity to build in-demand experience with LLM integration and modern AI tooling
• Collaborative team with strong growth potential
• Competitive compensation and hybrid flexibility in Edmonton

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