AI Developer (Calgary, Canada)

Proficiency developing clean modular and efficient code with Python. Hands-on experience with GCP for AI/ML workloads; exposure to BigQuery, Firebase, and Vertex AI. Working knowledge of Google Gemini, OpenAI, and Anthropic APIs. Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance. Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot). Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints.

Contribute to the design, development, and deployment of production AI/ML systems. Build and maintain LLM-based applications leveraging context engineering techniques. Collaborate with data scientists to transition proof of concepts into production. Integrate AI capabilities into existing products and services through APIs and microservices. Design and implement evaluation frameworks to assess model accuracy, reliability, and performance. Monitor production performance and implement optimizations.