Design, develop, and evaluate AI-powered applications using LLMs, Agentic AI, RAG, and intelligent workflow automation
Collaborate with engineering teams to analyze workflows and identify automation opportunities
Translate business requirements into practical AI-driven solutions
Develop software applications, APIs, and automation tools using Python and AI-assisted development platforms
Analyze engineering and operational data
Generate reports, dashboards, visualizations, and actionable insights for data-driven decision making
Participate in Agile development activities, design reviews, AI adoption initiatives, workshops, and knowledge-sharing sessions across global engineering teams
Requirements Currently pursuing a Bachelor's or Master's degree, or a College diploma, at an accredited Canadian university or college in a relevant technical discipline
Relevant fields include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence, Statistics, Mathematics, or related programs
Strong programming experience in Python
Familiarity with software development, automation frameworks, APIs, and application design principles
Knowledge of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agentic workflows
Experience using AI-assisted development tools such as Cursor AI, GitHub Copilot, or similar platforms
Understanding of data analytics, statistics, data modeling, and visualization techniques
Strong analytical, problem-solving, communication, collaboration,



and continuous learning skills
Demonstrated interest in AI and automation technologies
Nice-to-have: experience with LangChain, LangGraph, AutoGen, CrewAI, or similar technologies
Nice-to-have: exposure to AI guardrails, LLM evaluation, observability, tracing, monitoring solutions, and AI application lifecycle management
Nice-to-have: experience with enterprise application development, Grafana, Splunk, Power BI, Git-based workflows, CI/CD pipelines, hackathons, research projects, or AI-related extracurricular activities
Core Competencies Demonstrates expertise in AI-powered application development, particularly with Large Language Models (LLMs) and automation frameworks. Proficient in Python programming and data analytics, with a robust focus on translating business requirements into effective AI solutions.
Highest-signal resume keywords Python Programming
AI-Powered Application Development
Large Language Models (LLMs)
Data Analytics
Agile Development
Hard Skills Software Development
Automation Frameworks
APIs
Data Modeling
Visualization Techniques
Generative AI Concepts
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents
Agentic Workflows
Soft Skills Analytical Skills
Problem-Solving
Communication
Collaboration
Continuous Learning
Industry Keywords Data Science
Computer Science
Software Engineering
Artificial Intelligence
Statistics
Mathematics
Enterprise Application Development
Tools & Technologies AI-Assisted Development Tools
Cursor AI
GitHub Copilot
Grafana
Splunk
Power BI
CI/CD Pipelines

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📌 Data Science Co-op/Intern (Quebec City)
🏢 Jobtailor
📍 Quebec City