Prompt & Agentification Engineer in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Prompt & Agentification Engineer based in Canada.

This internship offers an opportunity to explore the future of artificial intelligence by designing, testing, and improving AI-driven workflows and agent systems.
You will contribute to the development of advanced prompt strategies, automation processes, and AI model integrations in a collaborative technology environment.
The role provides hands-on experience working with large language models, data analysis, and intelligent automation solutions.
You will collaborate with technical teams to optimize AI performance and create reliable systems that support real-world applications.
This position is ideal for a graduate-level candidate passionate about AI innovation, engineering, and solving complex technical challenges.
You will gain valuable experience in a fast-paced environment while developing skills at the intersection of software development, data, and emerging AI technologies.

• 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.

• 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.

• 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.