- 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
- Robust 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 strong 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

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