Software engineer jobs in Canada

Find software engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Sep 23, 2026

Hiring at a glance

View jobs

Open jobs: 2,176
Employers: 909

Advertised starting pay

Average starting payCAD / year: $127,888Across 280 listings
Average starting payUSD / year: $150,591Across 95 listings
Average starting payCAD / hour: $58.73Across 29 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%259 listings
Hybrid: 41%901 listings
On-site: 45%981 listings

Not specified: 2% (35 listings)

Employers hiring include Amazon (97), Arista Networks (38), EA SPORTS (30).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software engineer jobs in Canada

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Added 4 months ago
Senior Software Engineer
Helcim
Calgary, Alberta
Full-time
As a Senior Engineer you will be building and deploying high-quality software solutions. You will continually be involved in mentoring and coaching, ensuring you and your t
Added 4 months ago
Software Engineer, Infrastructure/Developer Tooling (Hybrid)
Homebase
Toronto, Ontario
$108,000 to $128,000 CAD / year
Full-time
We're looking for a Software Engineer (Infrastructure/Develope
Added 4 months ago
Senior Software Engineer, Platform Engineering
PointClickCare
Mississauga, Ontario
$142,700 to $158,600 CAD / year
Full-time
Added 4 months ago
🚀 iOS Mobile App Software Engineer Volunteer Internship [100% Remote]
Fini
Remote, Canada
Remote
Added 4 months ago
Staff Software Engineer
Clutch
Toronto, Ontario
$205,000 USD / year
Full-time
Added 4 months ago
Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
$120,000 to $140,000 CAD / year
Full-time
Added 4 months ago
Principal Software Engineer - Authorization Platform
PointClickCare
Mississauga, Ontario
$156,000 to $174,000 CAD / year
Full-time
Added 2 months ago
Staff Software Engineer
Checkfront
Remote, Canada
$150,000 to $210,000 CAD / year
Full-time · Remote
We’re looking for a Staff Software Engineer to join the Checkfront team. Checkfront is an establi
Added 2 months ago
Software Development Engineer, AWS Workflow - Step Functions
Amazon
Vancouver, BC
Added 12 days ago
Storage Site Reliability Engineer (GPFS / Storage Ops) | Ingénieur(e) SRE Stockage (GPFS / Opérations de stockage)
HCLTech
Montreal, QC
$100,000 to $115,000 CAD / year
Full-time
We are looking for a Senior Storage Site Reliability Engineer (SRE) to join a high-performing infrastructure team responsible for designing, automating, and maintaining large-scale…
Added 11 days ago
Software Engineer Intern, Machine Learning (Summer 2027)
Lyft
Toronto, ON
$46 to $53 CAD / hour
Added 11 days ago
Senior Software Engineer
Vivid Seats
Toronto, ON
Added 4 months ago
Oracle Field Service Cloud Architect (OFSC)
LTM
Ontario · Ontario, Canada
$130,000 to $150,000 USD / year
Full-time
Added 4 months ago
Software Engineer, ML Platform
Afresh
Remote, Canada
$114,000 to $174,000 CAD / year
Full-time · Remote
Added 4 months ago
Embedded Software Engineer
evertz.io
Burlington, Ontario
$60,000 to $90,000 CAD / year
Internship
We're looking for a passionate Embedded Software Engineer to join our development team, where you'll play a key role in designing, implementing, and maintaining embedded software for…
Added 4 months ago
Embedded Software Engineer
EvertzAV
Burlington, Ontario
$60,000 to $90,000 CAD / year
Internship
We're looking for a passionate Embedded Software Engineer to join our development team, where you'll play a key role in designing, implementing, and maintaining embedded software for…
Added 4 months ago
Embedded Software Engineer/Developer
Garmin
Cochrane, Alberta
Full-time
Garmin Canada has new opportunities for full-time Embedded Software Engineers and Developers with various levels of experience who have a hunger for solving real-world problems with…
Added 4 months ago
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
$140,000 to $196,000 CAD / year
Full-time
We're looking for a Senior Software Engineer to join our team in Vancouver, someone excited to build and optimize state-of-the-art LLM-powered agents at scale. You'll bring a builder's…
Added 4 months ago
Senior Software Engineer
Clutch
Toronto, Ontario
$160,000 to $200,000 USD / year
Full-time
Added 2 months ago
Software Engineer - Magnet One (front-end, back-end, or full-stack opportunities)
Magnet Forensics
Toronto, ON · Ottawa, ON · Waterloo, ON
Full-time
Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related…
Added 1 month ago
Senior Backend Software Engineer, Integrations
Event Temple
Remote, Canada
Full-time · Remote
…Vancouver, BC. We are the world’s leading Hotel Sales and Catering software, we’ve been voted #1 in the Hotel Tech Awards 6 years in a row and we’re growing…
Added 2 months ago
Software Development Engineer II, AWS Eventbridge
Amazon
Vancouver, British Columbia
…optimizes and delights the developer through all aspects of the software development…
Added 2 months ago
Senior Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
Full-time
Added 13 days ago
Software Engineer, Product / Mobile
Bree Technologies (YC21)
Remote, Canada
$170,000 to $230,000 CAD / year
Full-time · Remote
Added 13 days ago
Staff Software Engineer
Purpose Unlimited
Remote, Canada
Full-time · Remote

Closed listing

Matador

Ingénieur(e) principal(e) en systèmes d’IA | Senior AI Systems Engineer

Laval, QC, Canada

Experience: 3 ans+ d’expérience en développement logiciel en production (backend privilégié).
Posting language: English · French
Posted: Jul 15, 2026

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

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Search current openings

Original job description

Archived listing. The details below describe a past opening.

English section of this bilingual listing.

Senior AI Systems Engineer

Location: Laval - Hybrid | Type: Full-time | Industry: Automotive

About Matador

At Matador, we’re transforming how the automotive world connects and operates. We build cutting-edge AI solutions that power real businesses and shape the future of the automotive industry. If you thrive at the intersection of robust backend systems and practical AI applications, you’ll feel right at home with us in the Greater Montreal area.

Who We’re Looking For

This isn’t theoretical work - you’ll design, build, and scale AI-powered products that thousands of businesses rely on every day. You’ll move fast, tackle complex problems, and push the boundaries of what’s possible with multi-agent, multimodal AI systems - and every change you ship will be backed by rigorous evals, not vibes.

What You’ll Do

Design and build multi-agent LLM systems that coordinate tools, memory, and structured outputs - including agents that retrieve, reason over, and act on data from multiple sources (CRM, inventory, conversations).
Drive eval-driven development: build eval suites (offline benchmarks, LLM-as-judge, regression gates) and the observability and tracing needed to ship prompt and model changes with confidence.
Build and integrate Model Context Protocol (MCP) servers and tools that connect agents to real business systems.
Build realtime voice agents (speech-to-speech models, telephony integration) alongside text-based messaging agents.
Deploy AI workflows into scalable cloud infrastructure (AWS, MongoDB, etc.).
Optimize model routing, cost, and latency across multiple model providers.
Ship and iterate on features end-to-end using Python and TypeScript/JavaScript.

What Makes You a Great Fit

3+ years of production-grade software engineering experience (backend focus preferred).
Strong Python and TypeScript/JavaScript skills.
Solid experience with MongoDB (or comparable databases), AWS, and modern cloud architecture.
An eval-driven mindset: you measure AI changes against real-world data before shipping them.
Hands-on experience with at least one of:
- Built LLM agents that coordinate multiple model calls and tools.
- Built eval pipelines (LLM-as-judge, regression gates) for LLM outputs on real-world datasets.
- Built agentic retrieval systems (hybrid search, reranking, retrieval that feeds agent context).

Bonus Points

Experience with the Model Context Protocol (MCP), agent SDKs (Claude Agent SDK, OpenAI Agents SDK, LangGraph), or custom agent harnesses.
Deep knowledge of context engineering, structured outputs, and tool orchestration with LLMs.
Experience with AI guardrails: prompt-injection resistance and PII handling in customer-facing systems.
You’ve shipped a real product and improved it through user feedback.

Why Matador ?

Impactful work: Build AI products used by real businesses, not just experiments.
Fast innovation: Ship quickly, learn fast, and stay ahead of the curve.
Flexible work: Hybrid from our Laval office (Greater Montreal), with a collaborative, diverse team.
Shape the industry: Bring AI’s best ideas to one of the world’s most dynamic sectors.
Compensation: Competitive salary, group insurance, wellness benefit, retirement savings, and shuttle service from Côte-Vertu and Montmorency metro stations.

$110,000–$130,000 per year, based on experience.

Read the full bilingual original

À qui s’adresse ce rôle

Ici, votre travail a un impact réel : vous allez concevoir, construire et faire évoluer des produits IA utilisés quotidiennement par des milliers d’entreprises. Vous avancerez vite, relèverez des défis techniques complexes et explorerez les limites de ce que l’IA multi-agents et multimodale peut accomplir - et chaque changement livré sera validé par des évaluations rigoureuses, pas à l’instinct.

Ce que vous ferez

Concevoir et développer des systèmes LLM multi-agents coordonnant outils, mémoire et sorties structurées - y compris des agents qui récupèrent, analysent et exploitent des données de sources multiples (CRM, inventaire, conversations).
Pratiquer le développement piloté par les évaluations : construire des suites d’évaluation (benchmarks hors ligne, LLM-juge, seuils de régression) ainsi que l’observabilité et le traçage nécessaires pour livrer les changements de prompts et de modèles en toute confiance.
Développer et intégrer des serveurs et outils Model Context Protocol (MCP) reliant les agents aux systèmes d’affaires réels.
Créer des agents vocaux en temps réel (modèles speech-to-speech, intégration téléphonique) en complément des agents de messagerie texte.
Déployer des workflows IA sur une infrastructure cloud évolutive (AWS, MongoDB, etc.).
Optimiser le routage des modèles, les coûts et la latence entre plusieurs fournisseurs.
Livrer et itérer des fonctionnalités complètes en Python et TypeScript/JavaScript.

Profil recherché

3 ans+ d’expérience en développement logiciel en production (backend privilégié).
Solide maîtrise de Python et TypeScript/JavaScript.
Bonne expérience avec MongoDB (ou bases de données comparables), AWS et architectures cloud modernes.
Une approche pilotée par les évaluations : vous mesurez vos changements IA sur des données réelles avant de les livrer.
Expérience pratique avec au moins un des éléments suivants :
- Agents LLM coordonnant plusieurs appels de modèles et outils
- Pipelines d’évaluation (LLM-juge, seuils de régression) sur des données réelles
- Systèmes de récupération agentique (recherche hybride, reranking)

Atouts

Expérience avec le Model Context Protocol (MCP), les SDK d’agents (Claude Agent SDK, OpenAI Agents SDK, LangGraph) ou des harnais d’agents sur mesure.
Expertise en context engineering, sorties structurées et orchestration d’outils IA.
Expérience avec les garde-fous IA : résistance à l’injection de prompt et protection des renseignements personnels.
Expérience dans le déploiement et l’amélioration d’un produit réel basé sur les retours utilisateurs.

Pourquoi rejoindre Matador

Impact concret : vos solutions IA sont utilisées par de vraies entreprises.
Innovation rapide : équipe agile, apprentissage continu et projets concrets.
Flexibilité : mode hybride depuis notre bureau de Laval (Grand Montréal), au sein d’une équipe collaborative et diversifiée.
Transformer l’industrie : contribuer à l’évolution de l’IA dans un secteur dynamique.
Rémunération : Salaire concurrentiel, assurance collective, prestation de bien-être, épargne-retraite et service de navette depuis les stations de métro Côte-Vertu et Montmorency.

110 000 $ à 130 000 $ par année, selon l'expérience.

Senior AI Systems Engineer

Location: Laval - Hybrid | Type: Full-time | Industry: Automotive

About Matador

Who We’re Looking For

What You’ll Do

Design and build multi-agent LLM systems that coordinate tools, memory, and structured outputs - including agents that retrieve, reason over, and act on data from multiple sources (CRM, inventory, conversations).
Drive eval-driven development: build eval suites (offline benchmarks, LLM-as-judge, regression gates) and the observability and tracing needed to ship prompt and model changes with confidence.
Build and integrate Model Context Protocol (MCP) servers and tools that connect agents to real business systems.
Build realtime voice agents (speech-to-speech models, telephony integration) alongside text-based messaging agents.
Deploy AI workflows into scalable cloud infrastructure (AWS, MongoDB, etc.).
Optimize model routing, cost, and latency across multiple model providers.
Ship and iterate on features end-to-end using Python and TypeScript/JavaScript.

What Makes You a Great Fit

3+ years of production-grade software engineering experience (backend focus preferred).
Strong Python and TypeScript/JavaScript skills.
Solid experience with MongoDB (or comparable databases), AWS, and modern cloud architecture.
An eval-driven mindset: you measure AI changes against real-world data before shipping them.
Hands-on experience with at least one of:
- Built LLM agents that coordinate multiple model calls and tools.
- Built eval pipelines (LLM-as-judge, regression gates) for LLM outputs on real-world datasets.
- Built agentic retrieval systems (hybrid search, reranking, retrieval that feeds agent context).

Bonus Points

Experience with the Model Context Protocol (MCP), agent SDKs (Claude Agent SDK, OpenAI Agents SDK, LangGraph), or custom agent harnesses.
Deep knowledge of context engineering, structured outputs, and tool orchestration with LLMs.
Experience with AI guardrails: prompt-injection resistance and PII handling in customer-facing systems.
You’ve shipped a real product and improved it through user feedback.

Why Matador ?

Impactful work: Build AI products used by real businesses, not just experiments.
Fast innovation: Ship quickly, learn fast, and stay ahead of the curve.
Flexible work: Hybrid from our Laval office (Greater Montreal), with a collaborative, diverse team.
Shape the industry: Bring AI’s best ideas to one of the world’s most dynamic sectors.
Compensation: Competitive salary, group insurance, wellness benefit, retirement savings, and shuttle service from Côte-Vertu and Montmorency metro stations.

$110,000–$130,000 per year, based on experience.

About employer

More about this job

Responsibilities

Design and build multi-agent LLM systems that coordinate tools, memory, and structured outputs for automotive business systems. Implement eval-driven development and deploy scalable AI workflows on cloud infrastructure.

Requirements

Requires 3+ years of production software engineering experience with a focus on backend development using Python and TypeScript. Must have a strong mindset for evaluation-driven AI development and experience with cloud architectures like AWS and MongoDB.

Skills

Python
TypeScript
JavaScript
MongoDB
AWS
LLM Agents
Model Context Protocol
Evaluation Pipelines
Cloud Architecture
Backend Development
RAG
Prompt Engineering
Speech-to-Speech Models
Observability
Tracing
Tool Orchestration

Benefits

Group Insurance
Wellness Benefit
Retirement Savings
Shuttle Service

Visa sponsorship

Not detected in the job text

Keywords

LLM
Multi-Agent Systems
Multimodal AI
Model Context Protocol
MCP
Claude Agent SDK
OpenAI Agents SDK
LangGraph
Hybrid Search
Reranking
Prompt Injection
PII Handling
Context Engineering
Structured Outputs
AWS
MongoDB
Python
TypeScript
JavaScript
Backend
Cloud Infrastructure
Automotive Industry
Evaluation Benchmarks
LLM-as-judge
Regression Gates
Observability
Real-time Voice Agents
Speech-to-Speech
Telephony Integration
RAG

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