Jobs in Quebec

Jobs across Quebec, Canada. Choose a city or town to search nearby.

57,120 listings · 8,421 employers Counted Nov 1, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (3,366 listings), Walmart (1,854 listings), Walmart Canada (1,468 listings).

Common roles: Retail sales associate, Project manager, Store manager.

7,728 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	22.00	5,988
CAD / year	75,000.00	1,473
USD / hour	26.63	112
USD / year	103,000.00	96

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 22% hybrid, 78% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Quebec

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Added 1 day ago
AI
Senior Desktop Engineer
Apptoza Inc.
Montreal, QC
- Full-time
Added 1 day ago
BV
ASSISTANT.E GÉRANT.E JUNIOR
Bikini Village
Pointe-Claire, QC
- Full-time
Added 1 day ago
D-
Architecte de Solutions TI
DELAN - IT Talent Solutions
Montreal, QC
- Full-time
Added 1 day ago
BV
RESPONSABLE CLÉ
Bikini Village
Rosemère, QC
- Full-time
Added 1 day ago
AI
Desktop Support Engineer
Apptoza Inc.
Montreal, QC
- Full-time
Added 1 day ago
D-
Analyste ERP - Logistique (contrat 12+ mois)
DELAN - IT Talent Solutions
Montreal, QC
- Contract
Added 1 day ago
HA
Large Molecule Immunology Project Manager
Hess Associates Executive Search
Montreal, QC
- Full-time
Added 1 day ago
D-
Analyste ERP - Finance (contrat 12+ mois)
DELAN - IT Talent Solutions
Montreal, QC
- Contract
Added 1 day ago
BV
GÉRANT.E
Bikini Village
Laval, QC
- Full-time
Added 1 day ago
BV
CONSEILLER.ÈRE À LA VENTE
Bikini Village
Granby, QC
- Full-time
Added 1 day ago
AL
Développeur(euse) C# / C# Developer
Axis Lighting
Montreal, QC
- Full-time
Added 1 day ago
BV
CONSEILLER.ÈRE À LA VENTE
Bikini Village
Rosemère, QC
- Full-time
Added 1 day ago
BV
GÉRANT.E
Bikini Village
Rosemère, QC
- Full-time
Added 1 day ago
M
Applied AI Engineer
Mizo
Montreal, QC
- Full-time
Added 1 day ago
BC
Assistant Surintendant Lévis Québec | Assistant Superintendent Lévis Québec
Broccolini Construction Inc.
Montreal, QC
- Full-time
Added 1 day ago
BC
Directeur(trice) Préconstruction, Résidentiel | Pre Construction Director, Residential
Broccolini Construction Inc.
Montreal, QC
- Full-time
Added 1 day ago
R
Field Service Technician - Laval, QC
Rivian
Laval, QC
- Full-time
Added 1 day ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
Added 1 day ago
T
Personal Banking Associate - L'Île-Perrot (18.75 hours)
TD
Notre-Dame-de-l'Île-Perrot, QC
- Part-time
Added 1 day ago
MU
Accounts Administrator
McGill University
Montreal, QC
- Full-time
Added 1 day ago
MU
Administrative Student Affairs Coordinator
McGill University
Sherbrooke, QC
- Full-time
Added 1 day ago
MU
Administrative Student Affairs Coordinator
McGill University
Sherbrooke, QC
- Full-time
Added 1 day ago
D
Senior Risk Partner Advisor
Desjardins
Levis, QC · Montreal, QC
- Full-time
Added 1 day ago
D
Agent, Product administration
Desjardins
Levis, QC
- Full-time
Added 1 day ago
D
Personal Finance Advisor
Desjardins
Bonaventure, QC · Carleton-sur-Mer, QC · Maria, QC · New Richmond, QC
- Full-time

Mizo

Applied AI Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 28, 2027
Experience: 5+ years of software engineering experience, with meaningful time spent on AI/LLM systems.
Posting language: English
Posted: Oct 30, 2026

Original job description

The Opportunity

We're looking for an Applied AI Engineer to design, ship, and operate the agentic AI systems at the core of Mizo. In this role, you'll take agents from prototype to production - and own how they behave, reason, and recover once real customers depend on them.

Mizo is building AI agents that automate service desk operations for Managed Service Providers. Our agents handle ticket triage, client communication, scheduling, resolutions, and escalation - tasks that traditionally require human intervention. We're growing fast, and on track to become the first fully digital service desk for MSPs. We need someone who can make autonomous agents reliable enough to run unattended.

The ideal candidate lives at the intersection of LLM engineering and production systems. You're as comfortable tuning a prompt and an agent loop as you are reading traces, debugging a failed tool call, and tightening an eval suite. You care about what agents actually do in production, not just what they do in a demo.

Key Responsibilities

Build production agentic systems: design multi-step agent loops with tool use, planning, memory, and autonomous decision-making that run reliably against real customer workloads.
Own agent reliability end-to-end: instrument, monitor, and debug agents in production - chase down hallucinations, failed tool calls, runaway loops, and edge cases, then ship fixes.
Build evals and guardrails: create evaluation suites, regression tests, and safety checks so we can ship agent changes with confidence instead of vibes.
Optimize cost, latency, and quality: make data-informed tradeoffs across models, prompting strategies, retrieval, and orchestration to keep agents fast, cheap, and accurate at scale.
Integrate agents with real systems: connect agents to MSP tools, ticketing platforms, and internal APIs so they can take real actions, not just generate text.
Close the loop with production data: turn real agent runs and user feedback into better prompts, better tools, and a better roadmap.
Collaborate async-first: communicate clearly in writing, share context proactively, and make decisions with minimal coordination overhead.

Required Qualifications

Proven experience shipping LLM-powered or agentic features to production - not just prototypes or notebooks.
Deep, hands-on understanding of agent design: tool use, function calling, planning, memory, retrieval, and multi-step orchestration.
Strong instincts for evaluation and reliability - you know how to measure whether an agent is actually getting better.
Proficiency with TypeScript and/or Python, Node.js, and modern web architecture.
Comfort with ambiguity and rapid iteration. You thrive when the spec is not fully written and the model behavior is non-deterministic.
Ability to manage your own work independently and ship on time.
5+ years of software engineering experience, with meaningful time spent on AI/LLM systems.

Desired Skills and Qualifications

Experience with agent frameworks, orchestration tools, and LLM observability/tracing stacks.
Familiarity with building eval pipelines, LLM-as-judge, and prompt/version management at scale.
Experience with retrieval-augmented generation (RAG), vector stores, and context engineering.
Familiarity with the MSP, IT services space, or operational workflows in B2B SaaS.
Experience with Azure cloud services and DevOps workflows.
Strong async communication skills - you write well and think out loud in docs.

What We Offer

Competitive salary + ESOP: Real ownership in a company with early traction.
High autonomy: You decide how to build and operate our agents.
Real impact: Your agents run in production and handle real customer work every day.
Office-based culture: We're a small team, so you'll have a lot of opportunities to collaborate in person.
Montreal office (Plateau): Our office is on the Plateau.
Growth trajectory: Join at the ground floor of a fast-growing AI company.
Cutting-edge AI: Work with agentic AI, LLMs, and autonomous workflows daily.

Why Mizo?

MSPs are drowning in repetitive service desk work. We're building AI agents that handle it autonomously - and the market is responding. With customers on 4 continents and growing fast, we're proving that agentic AI can transform how IT services are delivered.

This is a rare chance to take agentic AI all the way to production at scale, and own the systems that make it trustworthy. You'll work directly with the founding team, see your agents handle real tickets within days, and have a direct line from production data to the next thing you build.

Apply About employer

More about this job

Responsibilities

Design, deploy, and operate production agentic AI systems that use tools, planning, memory, and orchestration to automate service desk workflows. Monitor and improve agent reliability, evaluations, safety, cost, latency, and quality by integrating with customer systems and using production data and feedback.

Requirements

Requires 5+ years of software engineering experience, including meaningful experience shipping LLM-powered or agentic features to production, and hands-on knowledge of agent design and evaluation. Candidates should be proficient in TypeScript and/or Python, Node.js, and modern web architecture, and able to work independently in an ambiguous, rapidly changing environment.

Skills

Agentic AI Systems
LLM Engineering
TypeScript
Python
Node.js
Agent Design
Tool Use and Function Calling
Planning and Memory
Retrieval-Augmented Generation
Evaluation and Regression Testing
LLM Observability and Tracing
Prompt Engineering
Production Reliability
Azure Cloud Services
DevOps
Async Communication

Benefits

Stock Options
High Autonomy
In-Person Collaboration
Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Agentic AI
LLM Engineering
Production Systems
Autonomous Agents
Multi-Step Orchestration
Tool Use
Function Calling
Planning
Memory
Retrieval-Augmented Generation
Vector Stores
Context Engineering
Evaluation Pipelines
LLM-as-Judge
Regression Testing
Safety Guardrails
LLM Observability
Tracing
Prompt Management
TypeScript
Python
Node.js
Modern Web Architecture
Azure
DevOps
Managed Service Providers
Ticketing Platforms
IT Services
B2B SaaS

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