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M
Winter Co-op 2027 - Software Engineering
Manulife
Waterloo, ON
- Full-time
As a Software Engineering Co-op, you’ll gain hands-on experience developing applications and systems that support business and customer solutions. You’ll work with modern development tools…
Added 15 mins ago
Research Developer, Frontier AI Incubation, DeepMind
Google
Montreal, QC
2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
Added 30 mins ago
Senior Cyber Security Specialist
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Calgary, AB · Burnaby, BC · Stellarton, NS · Mississauga, ON
Scripting & Automation: Proficiency in Python and PowerShell for data parsing, enrichment, and workflow automation.
Added 45 mins ago
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Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
…you will strengthen the bank’s risk discipline through clear, data‑driven oversight, ensuring alignment with risk appetite, regulatory expectations, and enterprise governance. You will…
Added 45 mins ago
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Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Assess conceptual soundness, key assumptions, data integrity, and directional risk impacts across origination, account management, and collections strategies; escalate issues with concise,…
Added 1 hour ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Risk Management, Business, or a related discipline.
Added 1 hour ago
UO
Research And Development Assistant - Wireless Monitoring Systems
University of Alberta
AB · Edmonton, AB
- Full-time
Familiarity with wireless technologies, sensors, data acquisition systems, and basic programming or data analysis tools (e.g., MATLAB, Python, or similar) is beneficial.
Added 2 hours ago
LLM Engineer
ZS
Toronto, ON
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 2 hours ago
AM
RTL Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…technologies including security policy management, cryptography, data compression, high-throughput DMA, power management, and other advanced subsystem…
Added 2 hours ago
AM
RTL Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
An RTL Design Engineering role in our Security IP (SECIP) team, where a large number of individual embedded micro-processor (MP) subsystems and associated hardware accelerators vital to…
Added 3 hours ago
SI
Senior Data Engineer/ Data Modeler
Spruce InfoTech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Role Overview: We are looking for a hands-on Senior Data Engineer / Data Modeler with strong expertise in both Data Engineering and Data Modeling. The consultant must have excellent Python…
Added 3 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Leverage PySpark and Python for data processing and analysis.
Added 3 hours ago
EI
Test Specialist - CDU
Ecolab Inc.
Calgary, AB
- Full-time
CoolIT, An Ecolab Company, a leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers is seeking a talented Test Specialist to join our CDU…
Added 4 hours ago
M
Senior Advisor, Strategy, Planning & Partnerships
Metrolinx
Canada
- Full-time
Maintains an awareness of the latest “Best Practice” methodologies for technical analysis, forecasting, and data visualization and assesses the appropriateness of their application within…
Added 4 hours ago
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Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Collaborate with product, finance, commerce, platform, data, and engineering teams across Autodesk.
Added 4 hours ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
3-5 years experience in software architecture, cloud architecture, data engineering, or AI solutions.
Added 4 hours ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
The Manager, DtC Data Analytics reports to the Director, DtC Strategy & Planning and plays a pivotal role in driving data-driven decision-making for the Omnichannel (eStore and SES stores)…
Added 4 hours ago
R
Senior MuleSoft Integration Developer
RBC
Toronto, ON
- Full-time
We are seeking a Senior MuleSoft Integration Developer to design, develop, and maintain API-based integrations between Salesforce and enterprise systems. You will play a key role in…
Added 4 hours ago
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Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
- Full-time
Python frameworks for backend / API design (e.g., Flask, Falcon) and relational data modelling.
Added 5 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 5 hours ago
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Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
Work on data-driven systems, integrations, and orchestration layers
Added 5 hours ago
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Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 5 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
Work on data-driven systems, integrations, and orchestration layers
Added 5 hours ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…
Added 5 hours ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
At General Dynamics Mission Systems–Canada, we’re not just engineering technology - we’re shaping the future of defence and security. Our teams design and deliver advanced, mission-critical…

ProCogia

AI Intern, Applied & Agentic AI (December 2026 to April 2027)

Vancouver, BC, Canada

Compensation - $23/hour

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Job details

Pay: Compensation - $23/hour
Posting language: English
Posted: Oct 9, 2026

Original job description

About ProCogia:

ProCogia is a data and AI consulting firm helping organizations turn complex technology challenges into measurable business outcomes. We work across highly regulated and high-stakes industries, including telecommunications, financial services, life sciences, healthcare, and the public sector, where security, governance, reliability, and performance are critical. Our teams bring together expertise across data science, engineering, AI, analytics, and consulting to design and deliver practical, production-ready solutions. We are actively advancing capabilities across generative AI, agentic systems, workflow automation, AI governance, and enterprise AI applications. At ProCogia, you will work alongside experienced practitioners on meaningful technical challenges and contribute directly to both client solutions and the platforms and products we are building internally.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

Work Location: Vancouver (On-site) (Full-Time Work from office in Vancouver, five days a week Mon-Fri)

Job Summary

We are seeking four AI Interns (Co-op Students) to join our team from December 2026 – April 2027. This is a hands-on role for students who want to go beyond AI experimentation and learn what it takes to build AI systems that are reliable enough for real enterprise environments. You will work alongside ProCogia’s AI, data science, and engineering teams to design, build, evaluate, and improve AI agents, agentic workflows, RAG systems, and LLM-powered applications. We are looking for curious builders with strong technical fundamentals, an experimentation mindset, and the discipline to test and validate AI outputs rather than trust them blindly.

Key Responsibilities

Design, build, test, and improve 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, identifying failure modes, and improving system performance.
Build AI solutions with observability, auditability, traceability, and human oversight in mind.
Develop integrations with APIs, databases, cloud services, and other enterprise technologies.
Troubleshoot and improve workflow accuracy, reliability, latency, and overall performance.
Apply strong software engineering practices including testing, version control, modular development, and documentation.
Experiment with emerging tools and frameworks across AI agents, orchestration, retrieval, and model evaluation.
Collaborate with consultants, engineers, and data scientists to turn prototypes into scalable solutions.
Share your work through technical documentation, demonstrations, and presentations.
You work with technologies such as Python, OpenAI and Anthropic models, open-source LLMs, MCP, LangChain, LangGraph, Langfuse, cloud platforms, and containerized environments. Prior experience with all of these is not expected.

What You Bring

Currently enrolled in final year or recently completed a Bachelor’s, Master’s, or PhD program 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.
Ability to turn AI prototypes into functional, end-to-end applications for real users.
Strong problem-solving skills with a systematic approach to evaluating technical solutions and outputs.
Ability to learn quickly, navigate ambiguity, and independently work through technical challenges.
Clear communication skills with the ability to explain complex technical concepts simply & effectively.
High ownership, curiosity, professionalism, attention to detail, and willingness to continuously learn.
Hands-on exposure to generative AI, LLMs, AI agents, machine learning, or workflow automation

Nice to Have

Experience with any of the following is an asset, but not required:

LLM application development or prompt engineering
AI agents or orchestration frameworks
Model Context Protocol (MCP)
RAG architectures or vector databases
AI evaluation and benchmarking
Cloud platforms such as AWS, Azure, or GCP
Docker or containerized applications
Open-source LLMs
Building software products, side projects, research projects, or technical prototypes

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:

At ProCogia, you will work at the intersection of cloud, data, AI, and enterprise technology. You will solve real problems across commercial and regulated environments, work directly with clients, and take meaningful ownership from infrastructure design through production. You will also help shape the platform foundation supporting ProCogia’s growing AI capabilities, giving you exposure to technologies and challenges that extend well beyond traditional DevOps. This is an environment where strong engineers can build, learn, take ownership, and make a visible impact.

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.

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More about this job

Responsibilities

Design, build, and test AI agents and agentic workflows for internal and client-facing solutions. Develop RAG pipelines and integrate LLMs into enterprise applications while ensuring observability and performance.

Requirements

Candidates must be currently enrolled in or recently completed a degree in Computer Science, AI, or a related field. Strong Python programming skills and foundational experience with full-stack development and AI experimentation are required.

Skills

Python
Generative AI
LLMs
AI Agents
RAG
LangChain
LangGraph
FastAPI
React
Machine Learning
Workflow Automation
Software Engineering
Data Science
Cloud Platforms
Containerization

Visa sponsorship

Not detected in the job text

Keywords

AI Intern
Applied AI
Agentic AI
Python
OpenAI
Anthropic
LangChain
LangGraph
Langfuse
RAG
LLM
FastAPI
React
Node.js
Cloud Platforms
AWS
Azure
GCP
Docker
Data Science
Software Engineering
AI Governance
Workflow Automation
Model Context Protocol
Consulting
Enterprise AI
Observability
Traceability
API Integration
Version Control

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