AI Intern
ProCogiaCanada13 hours ago
Full-timeEngineering, Information Technology
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About ProCogia:
We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We're a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new value and insights.
When you join ProCogia, you'll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you're ready to unleash your potential and work at the cutting edge of data consulting, we'd love to meet you!
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
Job Summary
We are seeking two motivated and curious AI Intern (Co-op Student) to join our team for the January 2026 semester (January - April 2026). In this role, you will work closely with ProCogia's data science and engineering teams to help productionize AI agentic workflows. This is a hands-on opportunity to apply your technical skills in real projects, contribute to cutting-edge solutions, and gain experience in enterprise AI delivery.
Key Responsibilities
We help businesses transform data into real growth!
Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.
We're a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don't just analyse data, we push the boundaries of what's possible, helping clients unlock new value and insights.
When you join ProCogia, you'll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.
If you're ready to unleash your potential and work at the cutting edge of data consulting, we'd love to meet you!
The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.
Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership
Job Summary
We are seeking two motivated and curious AI Intern (Co-op Student) to join our team for the January 2026 semester (January - April 2026). In this role, you will work closely with ProCogia's data science and engineering teams to help productionize AI agentic workflows. This is a hands-on opportunity to apply your technical skills in real projects, contribute to cutting-edge solutions, and gain experience in enterprise AI delivery.
Key Responsibilities
- Assist in designing, testing, and deploying AI agentic workflows for internal and client-facing projects.
- Support the integration of LLMs (e.g., Claude, GPT, open-source models) into enterprise systems.
- Work with orchestration tools (e.g., MCP, N8N, LangChain) to automate tasks and build reliable workflows.
- Collaborate with senior consultants to document and standardize development processes.
- Participate in troubleshooting, debugging, and refining workflow performance.
- Research emerging tools, frameworks, and best practices in AI agents, orchestration, and workflow automation.
- Contribute to knowledge sharing through presentations, demos, or documentation.
- Currently enrolled in a university program in Computer Science, Data Science, Engineering, or related fields.
- Strong interest in AI/ML, workflow automation, and applied enterprise solutions.
- Familiarity with Python (required); experience with APIs and RESTful services is a plus.
- Exposure to cloud platforms (AWS, Azure, or GCP) preferred.
- Interest or basic knowledge of LLMs, prompt engineering, or workflow tools (LangChain, N8N, MCP, etc.) is an asset.
- Strong problem-solving skills, attention to detail, and eagerness to learn.
- Excellent communication and teamwork abilities
Key Skills
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