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Last checked Nov 4, 2026.

AI & LLM Infrastructure

You will help create the platform foundation for our AI and LLM teams by

• Setting up AI and LLM development environments.
• Containerizing and deploying models, APIs, prototypes, and services.
• Supporting cloud compute and GPU environments where applicable.
• Automating application and model deployment workflows.
• Troubleshooting infrastructure, containers, dependencies, and environments.
• Supporting experimentation with LLMs, RAG, agents, and generative AI.

The objective is to learn platform engineering by making AI development faster, repeatable, and reliable .

What You Bring

• Final-year Bachelor’s or current Master’s student in Computer Science, Software Engineering, Computer Engineering, IT, Data Science, or a related field.
• Interest in DevOps, Cloud, Platform Engineering, Infrastructure, or SRE.
• Familiarity with Linux, Git, cloud concepts, and Docker .
• Experience with Python, Bash, PowerShell, Go, JavaScript, or another scripting/programming language.
• Strong troubleshooting, problem-solving, communication, and learning skills.

Nice to Have: Exposure to one or more of

• Cloud & DevOps: AWS/Azure, Kubernetes, Terraform, CI/CD, networking, IAM, observability.
• Enterprise platforms: Posit, AWS GovCloud, Xacta/GRC, Ansible/Puppet.
• AI infrastructure: MLOps, generative AI, GPUs, APIs, databases, or cloud data platforms.

Coursework, projects, research, hackathons, open-source contributions, internships, and co-op experience all count.

Compensation - $23/hour

Who can apply?

"This internship is supported by the Government of Canada's Student Work Placement Program (SWPP)”. To be eligible for SWPP funding, applicants must meet all three conditions given below

• be a Canadian citizen, permanent resident, or person granted refugee protection in Canada;
• be enrolled as a full-time student at a recognized Canadian post-secondary institution for the duration of the placement [Dec 2026 to Apr 2027]; and
• be legally entitled to work in Canada. International students are not eligible for SWPP-funded placements.

Why ProCogia

You will work at the intersection of cloud, DevOps, and AI , alongside engineers and researchers solving real enterprise problems. You will gain practical exposure to AWS, Infrastructure as Code, CI/CD, containers, Linux, cloud security, observability, and AI deployment while building reusable engineering solutions that have impact beyond your internship. You will be trusted with meaningful work, receive hands-on mentorship, and have the opportunity to grow quickly in a fast-moving consulting environment. Strong performance may also create opportunities to be considered for future roles at ProCogia.

ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.