Location
toronto, on, Canada
Posted
July 13, 2026
Job Description
Duration: 12 months (Possibility of Extension or conversion to full-time)
Responsibilities
Design and deploy AI solutions leveraging hosted LLM platforms (e.g., Gemin, managed foundation model services)
Develop, test, and optimise prompt strategies to improve model accuracy, consistency, and business relevance
Build and maintain prompt pipelines, including chaining, context injection, and response validation techniques
Evaluate and tune LLM outputs using structured evaluation frameworks, including human-in-the-loop and automated approaches
Develop Python-based pipelines to preprocess, orchestrate, and analyse structured and unstructured data for LLM use cases
Implement guardrails, prompt templates, and versioning strategies to ensure reliability and compliance in production
Identify opportunities to enhance solutions through retrieval augmentation (RAG), embeddings, and external data integration
Collaborat...
Responsibilities
Design and deploy AI solutions leveraging hosted LLM platforms (e.g., Gemin, managed foundation model services)
Develop, test, and optimise prompt strategies to improve model accuracy, consistency, and business relevance
Build and maintain prompt pipelines, including chaining, context injection, and response validation techniques
Evaluate and tune LLM outputs using structured evaluation frameworks, including human-in-the-loop and automated approaches
Develop Python-based pipelines to preprocess, orchestrate, and analyse structured and unstructured data for LLM use cases
Implement guardrails, prompt templates, and versioning strategies to ensure reliability and compliance in production
Identify opportunities to enhance solutions through retrieval augmentation (RAG), embeddings, and external data integration
Collaborat...