About the role#
This is a hands-on internship for students who want to move beyond AI experimentation and learn how to build systems that function in real enterprise environments. You will work alongside our AI, data science, and engineering teams to design, build, and improve AI agents, agentic workflows, and RAG systems. We are looking for builders with strong technical fundamentals and the discipline to test and validate AI outputs.
What you'll do#
- Design, build, and test AI agents and agentic workflows for internal and client-facing solutions.
- Develop RAG pipelines that provide grounded responses with citations and traceable source information.
- Integrate commercial and open-source LLMs into applications using APIs, SDKs, and enterprise systems.
- Apply an evaluation-driven development approach by defining benchmarks, measuring quality, and improving system performance.
- Build AI solutions with observability, auditability, and human oversight in mind.
- Develop integrations with APIs, databases, and cloud services.
- Apply software engineering practices including testing, version control, modular development, and documentation.
- Collaborate with consultants and engineers to turn prototypes into scalable solutions.
- Share your work through technical documentation, demonstrations, and presentations.
What you'll need#
- Currently enrolled in your final year or recently completed a degree in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
- Strong Python programming skills with solid software development, debugging, testing, and version-control fundamentals.
- Foundational full-stack experience building frontend, backend, APIs, and integrated application components.
- Familiarity with React and backend frameworks such as Node.js or FastAPI.
- Hands-on exposure to generative AI, LLMs, AI agents, machine learning, or workflow automation.
- Ability to turn AI prototypes into functional, end-to-end applications for users.
- Strong problem-solving skills and the ability to work through technical challenges independently.
- Clear communication skills to explain complex technical concepts effectively.
Location & details#
- Role: AI Intern, Applied & Agentic AI
- Term: Winter 2027 (December 2026 to April 2027)
- Location: Vancouver, British Columbia
- Work Modality: On-site (five days a week)
- Compensation: $23/hour
- Eligibility: This role is supported by the Government of Canada's Student Work Placement Program (SWPP). Applicants must be Canadian citizens, permanent residents, or persons granted refugee protection in Canada, and must be enrolled as full-time students at a recognized Canadian post-secondary institution for the duration of the placement.
About ProCogia
ProCogia is a consulting firm focused on data infrastructure and analytics. Founded in 2013, the company assists organizations with data engineering, artificial intelligence, and machine learning projects. It operates from a headquarters in Vancouver and maintains teams across North America, India, and Ireland. The firm serves clients in sectors including finance, life sciences, and technology.
How to get in at ProCogia
Securing an internship at ProCogia requires speed, as early applicants often gain visibility before the candidate pool becomes crowded. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, helping you submit your application among the first. This proactive approach ensures your profile is reviewed while recruiters are still actively building their shortlist. Reaching out to the right person can also make a significant difference in your application outcome. Intern Insider surfaces the recruiters behind the company's roles so you can contact them directly to ask about the position or a potential referral. A brief, professional inquiry to a recruiter often improves response rates compared to waiting in a standard queue.
