Lorval Capital Management is focused on building strong, sustainable businesses across multiple industries. With a long-term vision and stable foundation, the organization emphasizes growth from within, empowering employees to develop their careers while contributing to meaningful results. The culture is rooted in accountability, collaboration, and a shared commitment to excellence.
We offer a comprehensive benefits package, including Medical, Dental, Drug coverage, and a RRSP matching plan.
About MFA Technologies
MFA Technologies is the newly launched AI and software development arm of the Lorval Capital family of companies — a private group with active operations in glass manufacturing (Vitrum Glass), aluminum extrusion (Apex Aluminum), aluminum billet casting (RevoCast), and real estate development (Lorval Developments). Our mandate is simple: build AI-leveraged tools, applications, and control systems that make these businesses faster, sharper, and more competitive — including things the market doesn't sell off the shelf.
About the Role
This is not a fetch-coffee co-op. From day one you'll own real projects end-to-end — meeting with stakeholders to understand the problem, scoping the solution, building it with the most advanced AI development tools available, testing it, and training the people who will use it. You'll spend your time on a mix of internal tools, AI-powered applications, and (depending on your interests and the project pipeline) systems that touch real machinery on a manufacturing floor.
If you've spent the last year using Claude, Codex, or Cursor to accelerate your school projects and you've been wondering what it looks like to do that for a job — this is what it looks like.
What You'll Do
- Stakeholder Discovery — Sit down with operations leaders, plant managers, and executives across the Lorval businesses to understand real operational problems worth solving.
- Define the Problem — Translate those conversations into clear, scoped Product Requirements Documents (PRDs) before you write a line of code.
- Build with AI Leverage — Use AI coding assistants (Claude Code, Cursor, Copilot) and integrate LLM APIs (Anthropic, OpenAI) to build applications faster than traditional development cycles allow.
- Test Thoroughly — Validate your work end-to-end — manual testing, edge cases, and automated tests where they make sense.
- Train & Hand Off — Walk stakeholders through what you've built, write clear user-facing documentation, and run training sessions where needed.
- Iterate — Ship, gather feedback from real users, and improve. The work is never "done" the first time it deploys.
- Document Everything — Document your code and decisions clearly enough that the next person picking it up — including future-you — can move fast.
What We're Looking For
- Currently enrolled in a 2nd-year (or beyond) Computer Science, Software Engineering, or related program at BCIT, UBC, SFU, or equivalent.
- Solid programming fundamentals in at least one modern language (Python, JavaScript/TypeScript, Java, C#, etc.).
- Strong written and verbal communication — you'll be talking to people who don't speak in code, and your PRDs and training docs need to land.
- Curiosity, self-direction, and comfort with ambiguity — early-stage projects don't come with tidy specs.
- A bias toward shipping. We measure progress in working software, not in lines written or hours logged.
Bonus Points For
- Active, daily use of AI coding assistants (Claude, Cursor, Copilot, ChatGPT) in your own school or side projects.
- Web development experience — React, Next.js, or similar — and basic familiarity with REST APIs.
- Database fundamentals (SQL, schema design).
- A side project, hackathon entry, or open-source contribution that's actually been used by someone other than you.
- Any prior exposure to manufacturing, industrial, real estate, or operations-heavy environments — even a summer job counts.
Why You'll Want This Role
- Real shipped projects in real businesses — your code will be used by operators, managers, and customers, not graded and forgotten.
- Daily hands-on experience with the AI development tools the rest of the industry is still figuring out how to adopt.
- Direct mentorship from the Chief AI Officer and our AI Engineer — small team, high visibility, fast feedback loops.
- Exposure to a wide range of business domains in a single co-op term — manufacturing, real estate, sales, operations, finance.
- Strong path to a return offer or full-time role after graduation for co-ops who deliver.
Term, Location & Compensation
- Term — 4 or 8 month co-op terms — we can align with your school's program.
- Location — On-Site. Based out of our Langley, BC office
- Compensation — Competitive BC co-op rates — final rate based on year of study and prior experience.
- Start Date — Flexible — we can work around your school calendar.
How to Apply
Apply through your school's co-op portal, or send a resume and a short note (a paragraph is plenty) to [APPLICATION EMAIL] telling us about a project you've shipped or a problem you've solved using AI tools. We don't need a cover letter — we'd rather see what you've actually built.
Equity Statement: Lorval Capital Management is committed to equity, diversity, and inclusion. Our goal is to create an inclusive, accessible environment for our candidates and employees that reflects the communities in which we operate. If you require an accommodation for the recruitment or interview process, please let us know and we will work with you to meet your needs.
We welcome Indigenous, newcomers, and people with disabilities to apply for this position.
