Kouvre is the AI agent for restaurants. Independent owners text it like an employee and it runs the business: promos, menus, prices, reviews, their website, all across UberEats, DoorDash, and Skip at once. No dashboards. We're already making restaurants money. One BOGO at a Montreal spot, launched by a single text, lifted UberEats revenue by 1,000% on a slow Tuesday. As our Founding AI Engineer, you own the brain. You will partner closely with the Founding CTO to turn a plain-text message into the right action, building the reasoning, the agents, and the evals that make Kouvre feel less like software and more like a sharp employee who never drops the ball. The Mission

For the owner:

Make Kouvre understand intent. When an owner texts "fill my slow Tuesday," Kouvre has to know what that means and do the right thing: the promo, the platform, the timing, without a brief. For the company:

Make the agent trustworthy. The gap between a fun demo and a business owners depend on is everything you'll build: reliability, judgment, and knowing what not to do. What You'll Build

The reasoning layer:

The agent logic that maps a casual text to the correct, complete action across platforms, handling ambiguity the way a valuable employee would. The action agents:

Generative agents that draft promo copy, build a campaign, reply to a review in the restaurant's voice, or turn a new dish into a social post. The eval pipeline:

The harness that proves a change made the agent better, not just different.



Your safeguard against shipping regressions into someone's livelihood. The judgment guardrails:

Knowing when to act, when to confirm, and when to stay quiet. A 10/10 action or nothing. The continuous edge:

Feedback loops that make the agent sharper with every restaurant it runs. What We're Looking For

Deep agent intuition:

You've built real LLM systems (tool-use, orchestration, retrieval, evals) and you know their failure modes cold. Product instinct:

You care about the owner's outcome, not model benchmarks. You think "did it do the right thing," not "was the output plausible." Ship-it capability:

You take an idea from notebook to production and own the path to real users. Scrappy with ambiguity:

Small datasets, messy real-world signals, and fuzzy goals energize you. Clear thinking:

You can explain a precision, latency, and cost trade-off plainly and make the call. Why This is Different

AI is the product.

You're building the thing the company is, not a feature on a dashboard. Founding equity,

and the rare chance to define an AI discipline from scratch, with a CTO who backs you. Live proof it works.

An operator-led company that's already making restaurants money. Zero bureaucracy.

Proof of work over process. The best agent is one an owner forgets is software. Montreal-based and hybrid.

Work from home, and meet in person when it matters.

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📌 Founding AI Engineer (Winnipeg)
🏢 Kouvre
📍 Winnipeg