Prompt & Agentification Engineer

Accountabilities: Design, test, and refine prompts to improve the quality, accuracy, and effectiveness of AI model outputs.

Analyze prompt objectives, context, and performance to identify opportunities for optimization.

Evaluate AI-generated responses, identify patterns and trends, and provide insights to improve model behavior.

Develop and manage AI automation workflows using tools such as n8n, including workflow creation, orchestration, and optimization.

Integrate large language models and external AI services into automated workflows through APIs and connected platforms.

Manage data flows, transformations, and routing processes to improve AI inputs and outputs.

Test, debug, and enhance complex automation workflows to ensure reliability and efficiency.

Collaborate with engineering and cross-functional teams to support AI implementation strategies.

Identify and address ethical considerations related to AI usage, model outputs, and responsible technology development.

Requirements:

Currently enrolled in or recently graduated from a Master’s program in Data Science, Computer Science, Statistics, or a related technical field. Master’s-level education is required.

Strong understanding of data concepts, analytical methods, and AI-related technologies.

Programming experience with languages such as Python, Java, R, or C++, with the ability to develop scripts, automate processes, and interact with AI models.

Familiarity with large language models and AI platforms, including tools such as ChatGPT, Google Gemini, Microsoft Copilot, or similar technologies.

Ability to analyze data generated by AI models and translate findings into actionable improvements.

Experience or knowledge of workflow automation tools, particularly n8n, including AI orchestration and node-based workflow design.

Understanding of prompt engineering principles, dynamic inputs and outputs, and AI agent development concepts.

Knowledge of API integrations, external service connections, and data transformation processes.

Strong problem-solving abilities, attention to detail, and ability to work independently and collaboratively.

Curiosity, adaptability, and enthusiasm for emerging AI technologies and innovation.

New graduates with relevant technical skills and strong motivation are encouraged to apply.

Benefits:

Compensation of $32 CAD per hour, provided through common shares at fair market value rather than cash payment.

Fully remote work environment with hybrid options available in Toronto.

Opportunity to gain practical experience in artificial intelligence, automation, and software development.

Hands-on involvement in innovative AI projects with real-world applications.

Exposure to senior leadership and strategic technology initiatives.

Opportunity to strengthen your professional profile through meaningful technical experience.

Collaborative and inclusive workplace culture that values diverse perspectives and continuous learning.

Experience working in a fast-growing technology environment focused on innovation and professional development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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