Dental workflows still run on manual processes. Build the intelligence that changes that. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving Dental labs and clinics run on fragmented, manual processes — case handoffs, data entry, workflow tracking, quality checks — none of it automated, most of it repeated daily. EviSmart's platform exists to replace that. The AI and automation infrastructure is the engine underneath everything: routing decisions, predictive analytics, intelligent process orchestration. The obstacle isn't ambition — it's execution. Someone needs to own the automation layer end-to-end, from identifying the right processes to deploying production-grade solutions that hold up at scale. That's what this role does. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now EviSmart isn't experimenting with AI — it's already embedded in the product and the roadmap depends on it going deeper. The automation layer needs an engineer who can move from strategy to shipped solution: identifying high-value process targets, integrating LLMs and ML models into real workflows, and building the data discipline that makes all of it reliable over time. The 2026 roadmap is aggressive. The opportunity to shape EviSmart's automation foundation — not inherit it — is open right now. A Note from the Team “We're not looking for someone to run automation experiments in a sandbox. We need someone who understands the full chain — from messy process to deployed solution — and can move fast without cutting corners on data quality. If you've built automation that actually held up in production, you'll feel at home here.” — Paolo Kalaw, CEO, EviSmart The Question You're Probably Asking "EviSmart already has an AI research team. How does this role relate to what they're building? The research team builds the models. This role deploys intelligence into operations. The two are complementary — the research team gives you better tools; you give the research team real-world feedback loops. You're not duplicating what exists. You're the bridge between proprietary AI capability and the workflows that actually run the business. One without the other leaves either models without application, or automation without intelligence." — EviSmart Talent Team
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed