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 Solid 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 (Montreal)
🏢 Jobtailor
📍 Montreal