About the roleEverflow handles massive scale in the ad-tech space. We are looking for an AI Engineer who views LLMs as just one component in a complex, high-concurrency distributed system. You will lead the charge in evolving our platform from "data-rich" to "intelligence-driven."
We are a GCP shop, but we don't just follow the documentation-we build ahead of it. You will be responsible for architecting how Gemini and the evolving Vertex AI suite integrate into our real-time attribution and analytics engine.
The Mission: Build for Today, Architect for Tomorrow- System Orchestration: Design the "connective tissue" between our massive BigQuery datasets and agentic AI workflows.
- Rapid Adaptation: Evaluate and implement emerging GCP technologies (including those announced at Cloud Next) to keep Everflow at the cutting edge of Mar-Tech.
- Resilient AI: Ensure that AI-driven features-like automated fraud detection or partner insights-are deterministic, cost-controlled, and sub-second.
What you'll do- Architectural Agility: Design modular AI services that allow us to swap models or orchestration frameworks (e.g., moving from manual RAG to autonomous Vertex Agents) as the GCP ecosystem evolves.
- Tooling & Function Calling: Build the secure API layers that allow Gemini to "act" on behalf of our users within the Everflow ecosystem.
- Latency & Cost Guardrails: Engineering the middleware that handles model routing, semantic caching, and token-budgeting to maintain our margins.
- Collaborative ML Ops: Work alongside our Data Scientists to move models from experimental notebooks to production-grade Cloud Run/GKE deployments.
Qualifications- First Principles Engineer: You understand the fundamentals of distributed systems, concurrency, and data integrity.
- GCP Native: Strong experience with the Google Cloud ecosystem (BigQuery, Pub/Sub, GKE) and Vertex AI.
- Bilingual: High proficiency in French and English is required.
- Montreal Based:Ability to work from our Montreal office at least two days per week to foster high-bandwidth collaboration with our local engineering hub.
- Ad-Tech Sensibility: You understand that in our world, latency is the enemy and accuracy is the product.
Compensation Package:Base Salary: $100,000 - $110,000 CADBonus PotentialPerks include:- Employer Medical and Vision Insurance Group Plans
- Unlimited PTO and paid holidays
- Paid parental leave for putting your family first
- Startup-like environment, without the constant rush to raise the next round of funding
- A very collaborative team and culture
- Education, gym, and equipment stipend
