Number of Applicants
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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
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
What You’ll Own
What You'll Get
How We Work
We ship before we’re 100% certain. We write things down because we have two offices and memory is lossy. We debate loudly and move without resentment. We treat the customer’s real problem as more important than an elegant internal process. If you’ve spent time waiting for permission to try something obvious — you’ll notice the difference here immediately.
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
What We Need
Apply today @ Evismart Careers
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