AI role · Open offer

GenAI Engineer — Shopify Ottawa jobs

Shopify

Full-time
Senior
Merchant GenAI
Hybrid
150 Elgin Street, Ottawa, ON K2P 1L4, Canada · Hybrid
Ottawa, Canada
CAD 140k–190k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills3 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 150 Elgin Street, Ottawa, ON K2P 1L4, Canada · Hybrid
Compensation: CAD 140k–190k/year + equity
Experience level: Senior
Team: Merchant GenAI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Shopify is hiring a Senior GenAI Engineer — Shopify Ottawa jobs on the Merchant GenAI team (Hybrid · Ottawa, Canada). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Shopify powers millions of merchants — engineering hubs include Shopify Ottawa.

GenAI Engineer (hybrid Ottawa): merchant copilots and commerce GenAI — targets Shopify Ottawa / Shopify jobs Ottawa.

Missions

Ship merchant GenAI features with safety and cost controls.
Partner with ranking/fraud teams on shared evaluation standards.

Stack & environment

Python, LangChain-style stacks, GCP, Kubernetes.

What we look for

Production GenAI/LLM; eligible to work in Canada.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
NLP

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Merchant copilots, ranking GenAI, or fraud LLM with production metrics.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, NLP, Machine Learning, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Ottawa, Canada)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Merchant copilots, ranking GenAI, or fraud LLM with production metrics.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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