---
title: 'AI Intern, Applied & Agentic AI (December 2026 to April 2027) at ProCogia'
canonical: 'https://feeny.ai/job/ai-intern-applied-agentic-ai-december-2026-to-april-2027-procogia-vancouver-m92k714ex3pm'
type: 'job'
last_seen: '2026-10-19'
---

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

- **Company:** ProCogia
- **Location:** Vancouver, Canada
- **Work type:** onsite
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-19
- **Apply:** https://procogia.com/about-us/careers/?gh_jid=5448664008

## 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 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.

## About ProCogia

## Company Overview
- **One-liner**: ProCogia is an AI-first business solutions consulting firm that helps organizations move from ambitious AI ideas to governed, production-ready outcomes.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: Vancouver, British Columbia, Canada
- **Founded**: 2013
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Data Infrastructure and Analytics, AI Consulting, Data Engineering, Cloud & Governance
- **Target customers**: B2B, Enterprise clients across highly regulated industries including Life Sciences/Pharma, Telecommunications, Financial Services (BFSI), Public Sector, Technology, Retail (CPG), and Manufacturing & Logistics
- **Mission**: To shape a bright AI and data-powered future through expertise, innovation, and education by setting new standards in data, analytics, and AI, building smarter solutions through data-driven insights, and nurturing the next generation of data and AI professionals.
- **Purpose**: To increase the collective happiness of our world by becoming the employer of choice for data and AI professionals and delivering impactful, wisdom-driven insights that create long-term value for all stakeholders [procogia.com](https://procogia.com/about-us/).

## Products & Services
- **Data Engineering & Strategy**: Design, build, and operate scalable data pipelines and infrastructure for complex, governed environments.
- **AI/ML & Advanced Analytics**: Development of custom AI agents, accelerators, and machine learning models for production deployment.
- **Cloud & Governance**: Cloud architecture, migration, and data governance solutions ensuring security, compliance, and scalability.
- **BI & Insights**: Business intelligence consulting to deliver actionable, data-driven insights for decision-makers.
- **Consulting & Advisory**: High-touch partnership model guiding clients from pilot to production with responsible AI design.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: **149% headcount growth over the last 12 months** (as per their careers page); currently employs **43 people** (LinkedIn data shows -19.4% YoY change, likely reflecting restructuring or seasonal variation) [procogia.com](https://procogia.com/about-us/careers/) [linkedin.com](https://ca.linkedin.com/company/procogia)
- **Notable Investors/Partners**: Not publicly available; partners with clients across BFSI, Pharma, Public Sector, Tech, Telecom, CPG, and Manufacturing.
- **Growth Signals**: 
    - Active job postings increased **+400% year-over-year** [linkedin.com](https://ca.linkedin.com/company/procogia)
    - Recognized as a **Great Place to Work® in Canada (2024)** – ranked #60 in the "Less than 100 employees" category [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848)
    - Named one of the **Best Workplaces in British Columbia (2023)**
    - Expanding presence across North America, India, and Ireland
- **Employee Rating**: 3.7/5.0 on LinkedIn (50 reviews), with breakdown: Work-Life 3.8, Compensation 3.9, Culture 3.6, Career 3.6 [linkedin.com](https://ca.linkedin.com/company/procogia)

## Competitive Advantages
- **Deep Regulated Industry Expertise**: Specializes in environments where accuracy, security, governance, and scalability are non-negotiable (Pharma/Life Sciences, Financial Services, Public Sector).
- **AI-First, Production-Ready Focus**: Moves clients beyond pilots to governed, production-grade AI outcomes, differentiating from firms that only offer strategy or basic implementation.
- **Prebuilt AI Agents & Accelerators**: Offers proprietary tools that speed up deployment, reducing time-to-value for clients.
- **High-Touch Partnership Model**: Emphasizes long-term, collaborative client relationships over transactional consulting.
- **Certified Great Place to Work®**: 89% of employees say it is a great place to work, compared to 62% at a typical Canadian company [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848).

## Strategic Focus
- **Production-Ready AI**: Prioritizing safe, responsible, and scalable AI deployment in regulated industries.
- **Talent & Culture Growth**: Investing heavily in headcount (149% growth cited) and building a diverse, inclusive workforce with a strong emphasis on continuous learning.
- **Cross-Industry Expansion**: Serving a wide range of sectors (Pharma, Telecom, Tech, Retail, Financial Services) to provide consultants with varied experience.
- **Community Leadership**: Encouraging employees to become thought leaders through Meetups, conferences, blogs, and white papers [procogia.com](https://procogia.com/about-us/careers/).

## Why Work Here
- **Culture & Recognition**: Certified Great Place to Work® (2024) with 89% employee satisfaction. Values include Trust, Growth, Innovation, Excellence, and Ownership [greatplacetowork.ca](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848).
- **Professional Development**: Generous personal development budget for training, courses, or coaching. Emphasis on mentorship, continuous learning, and "growth mindset" [procogia.com](https://procogia.com/about-us/careers/).
- **Work Environment**: Described as diverse, close-knit, and supportive. Management is noted as approachable, competent, and trusting (minimal micromanagement) [linkedin.com](https://ca.linkedin.com/company/procogia).
- **Remote/Hybrid Policy**: Not explicitly stated, but job postings include remote options (e.g., "Senior Bioinformatics Consultant (Remote)"). Presence across North America, India, and Ireland suggests flexible working arrangements.
- **Notable Perks**: Competitive salary, generous benefits, ample opportunity for personal development, and a commitment to work-life balance (3.8/5.0 rating).
- **Diversity & Inclusion**: Committed to attracting team members from all backgrounds, nationalities, religions, races, gender identities, and sexual orientations. Aims for a balanced gender ratio [procogia.com](https://procogia.com/about-us/careers/).
- **Executive Leadership**: CEO Mehar Pratap Singh leads the firm. Key executives include Lisa Young (Head of Finance), Aura Telman (Head of People and Culture - departed March 2026), Bill Carney (CEO), and others [linkedin.com](https://ca.linkedin.com/company/procogia).

## Sources
1. [ProCogia Official Website](https://procogia.com/)
2. [ProCogia About Us](https://procogia.com/about-us/)
3. [ProCogia Careers Page](https://procogia.com/about-us/careers/)
4. [ProCogia LinkedIn Company Page](https://ca.linkedin.com/company/procogia)
5. [Great Place to Work® Canada - ProCogia Profile](https://www.greatplacetowork.ca/en/certified-company/z4870188000009736848)

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