Founding AI Engineer

All roles

Founding AI Engineer

Full-time
· Montreal (Hybrid)

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 Uber Eats, Door Dash, and Skip  dashboards. We're already making restaurants money. One BOGO at a Montreal spot, launched by a single text, lifted Uber Eats 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.

• 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.

• The reasoning layer:
  The agent logic that maps a casual text to the correct, complete action across platforms, handling ambiguity the way a good 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.

• 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.

• 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.