Find work in Canada.

517,367 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 mins ago
T
Branch Manager – Montreal Downtown (Future Opportunities)
TD
Montreal, QC
- Full-time
A strategic thinker with extensive knowledge of advanced investing and credit processes, policies, programs, and systems to provide tactical direction to senior leadership
Added 11 mins ago
Director of Warehouse and Service Operations (1026)
Trail Appliances Ltd.
Delta, BC
- Excellent communicator who can engage frontline teams and senior leaders.
Added 11 mins ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
…cloud-based data platforms, and can collaborate effectively with senior engineers, analysts, and business stakeholders to deliver scalable, well-documented…
Added 11 mins ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
…cloud-based data platforms, and can collaborate effectively with senior engineers, analysts, and business stakeholders to deliver scalable, well-documented…
Added 11 mins ago
B
Senior Relationship Manager, Commercial Banking (Corporate Finance Group)
BMO
Winnipeg, MB
- Full-time
The Senior Relationship Manager (Sales Director, Corporate Finance) manages a commercial lending portfolio and supports the origination of new clients, and coordinates with other products…
Added 25 mins ago
A
Assistant General Manager - Aera
Aera
Toronto, ON
- Full-time
You’re strong suit is building and maintaining relationships with guests, team members and senior management alike
Added 25 mins ago
HT
IT Internal Auditor
Husky Technologies
Bolton, ON
- Full-time
…model. You will be part of a global team and report to the Senior Manager; IT Audit located in Bolton. The Senior Manager, IT Audit reports to the VP, Internal Audit, who reports to the…
Added 25 mins ago
CC
Senior Product Manager - RQ11606
Computer Consultants International, Inc.
Toronto, ON
- Contract
Senior Product Manager - RQ11606 (CANADA) - Onsite
Added 25 mins ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 25 mins ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 25 mins ago
CI
Business Development Representative
CMB Insurance Brokers
Grande Prairie, AB
- Full-time
…Once a meeting is booked, the BDR passes the prospect off to a Senior Risk Consultant…
Added 25 mins ago
A
Senior Manager, Business Human Resources - Allergan Aesthetics (18 month contract)
AbbVie
Markham, ON
- $134,000 to $184,000 CAD / year
- Full-time
AbbVie Canada is seeking a Senior Manager, Business Human Resources to join our HR team.
Added 25 mins ago
T
IT Governance and Reporting Specialist
TransLink
Vancouver, BC · Greater Vancouver, BC
- $84,480 to $126,720 CAD / year
- Full-time
Reporting: Manages the reporting cycle to produce reports for operations, senior leadership teams, and board and executive committees.
Added 25 mins ago
VS
Unregulated Care Provider (UCP) (2026-10986)
Verve Senior Living
Mississauga, ON
- Part-time
Come join us and help make a difference in the lives of older adults! As employees at a Verve Senior Living Retirement Residence, our primary goal is to help each person, have a great day,…
Added 25 mins ago
W
Senior Mechanical Engineer- Material Handling
Worley
Vancouver, BC
- Full-time
Worley is seeking a Senior Material Handling Engineer / Project Manager to provide senior-level mechanical engineering, materials handling, and project management expertise within the…
Added 25 mins ago
P
Mechanical Engineering Co-Op
ProMach
Richmond, BC
- Full-time
Technical Drawings and Standards: Prepare final working drawings, update the parts database, and bring existing files up to new standards under the guidance of Senior Engineers.
Added 25 mins ago
F
Senior Backend Engineer - Laravel & Go Microservices - On-site - Vancouver, Canada
FullStack
Vancouver, BC
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior Backend Engineer - Laravel & Go Microservices.
Added 25 mins ago
TC
M365 Technical Lead
Tata Consultancy Services
Vancouver, BC
- Full-time
Minimum Senior years of IT experience with strong hands-on experience in SharePoint Online, Microsoft 365 collaboration and Power Platform implementation/support.
Added 25 mins ago
TA
Director of Warehouse Operations
Trail Appliances BC
Delta, BC
- Full-time
- Excellent communicator who can engage frontline teams and senior leaders.
Added 25 mins ago
AE
Director, Enterprise Applications
Associated Engineering
Vancouver, BC
- Full-time
In conjunction with other senior leadership, including Infrastructure (Digital Services Operations), provides design authority and governance for enterprise application, solution,…
Added 25 mins ago
M
Salesforce Solution Lead
McKesson
Mississauga, ON
- Full-time
…delivery and continuous improvement. As a trusted partner to senior business and technology leaders, you will create clarity across competing priorities, strengthen governance, and ensure…
Added 25 mins ago
R
Sr. Scientist, Virus Construction
Replimune
Montreal, QC
- Full-time
The Senior Scientist, Virus Construction, plays a key role in managing the design, development and testing of novel HSV-derived oncolytic virus candidates. The Senior Scientist, Virus…
Added 25 mins ago
VS
Registered Practical Nurse (RPN) (2026-10983)
Verve Senior Living
Mississauga, ON
- Full-time
Come join us and help make a difference in the lives of older adults! As employees at a Verve Senior Living Retirement Residence, our primary goal is to help each person, have a great day,…
Added 26 mins ago
Senior Manager, Teaching, Learning & Educational Technology
University of Toronto
Toronto, ON
Reporting to the Executive Director, Academic Affairs & Project Management, the Senior Manager, Teaching, Learning and Educational Technology (the Senior Manager) provides operational…
Added 41 mins ago
M
Anti-Money Laundering (AML) Lead
Midnite
Remote, Canada
- Full-time
- Remote
Design and deliver AML/ATF training, turn AML data into clear metrics for senior leadership, and be the go-to AML expert across the business.

Cerence

Senior AI Developer - AI Agents

Montreal, QC, Canada

Salary range: $97,000 CDN–$160,000 CDN. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary range: $97,000 CDN–$160,000 CDN.
Job type: Full-time
Posting language: English · French
Posted: Oct 28, 2026

Original job description

English section of this bilingual listing.

AI That Moves the World. Careers That Move You Forward.
At Cerence AI, you’ll help transform advanced AI into trusted, real-world solutions that make complex technology – think vehicles, robots, smart manufacturing, and emerging intelligent devices – more natural, reliable, and useful. Building on decades of innovation and global deployment in automotive, we are extending our expertise into new products, markets, and intelligent systems.

As part of our global team, you’ll work alongside leading innovators, researchers, engineers, and business leaders to solve meaningful challenges and turn breakthrough ideas into technology people use every day. You’ll have the opportunity to make a visible impact, help shape Cerence AI’s next chapter, and move your own career forward.

--------------------------------------------------------------

The Role

A good model doesn’t make a good assistant on its own. Someone has to build the agent around it - the layer that decides what the driver meant, calls the right vehicle function, handles the follow-up question, and recovers gracefully when something goes sideways at 100 km/h. That’s this role. You’ll own a domain of the assistant, build the agent that serves it on our xUI™ platform, and make it work in the Cloud and on the Edge alike.

What You’ll Do

Build and own one of our domain-specific agents, from design through release and into the field
Design the function-calling surface an LLM uses to actually do things - adjust the climate, queue up a song, set a destination - and make it robust to the many ways a driver might ask
Make a single agent work in the Cloud and on the Edge, keeping the codebase shared rather than forked
Integrate LLM capabilities into product behaviour: prompting, retrieval, tool selection, and handling conversations that don’t go in a straight line
Hold the quality line - automated tests, real measurement of agent behaviour, and driving bug counts down rather than around
Work in an Agentic Engineering workflow - AI coding agents are a core part of how we build here, and we want you helping push that further
Partner with product to turn a UX intention into an agent that genuinely feels that way to use

Tech Stack

Languages: Python, TypeScript
AI: LLM integration - prompting, function and tool calling, retrieval-augmented generation
Quality: automated testing, behavioural evaluation of non-deterministic systems
Workflow: Git, CI, and AI coding agents as a daily tool

What You Bring

You’ve built and owned a production service, and stayed with it long enough to live with your own design decisions
Strong Python
You’ve worked with LLMs as building blocks - prompting them, giving them tools, and evaluating behaviour that isn’t deterministic
You have a real quality instinct: you write the tests, you review thoughtfully, and you raise the awkward design question early rather than late
You’re comfortable building on a platform that’s still evolving, where the answer isn’t always documented yet
You work well across disciplines and explain technical trade-offs to people who don’t share your background

Nice to Have

Depth in TypeScript or Node.js
Experience adapting language models through fine-tuning or reinforcement learning, even lightly
Exposure to embedded or edge constraints: limited memory, no network, hard latency budgets
Background in voice, conversational interfaces, or automotive software
Hands-on experience using AI coding agents in your own workflow

What We Offer

We offer a generous compensation and benefits package, in addition to the base salary, including:

Salary range: $97,000 CDN–$160,000 CDN. It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.
Annual bonus opportunity
Insurance coverage (medical, dental, vision, life, and disability)
Paid time off
Paid holidays
Company contribution to the CDN RRSP (Registered Retirement Savings Plan)
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amen terminated, or replaced from time to time

Cerence AI (NASDAQ: CRNC) helps people and intelligent systems work together naturally and reliably. Proven at global scale in automotive, Cerence provides the trusted interaction and action layer connecting people, machines, and intelligent systems. Its AI platform enables natural interaction and dependable action across complex real-world environments where reliability, safety, security, and performance are critical. Working with customers and partners worldwide, Cerence transforms advanced AI into trusted solutions that bridge the gap between AI potential and real-world performance.

For more information, visit www.cerence.ai.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
Following security procedures to report any suspicious activity.
Having respect for corporate security procedures to allow those procedures to be effective.
Adhering to company's compliance and regulations.
Encouraging to follow a zero tolerance for workplace violence.
Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
Demonstrative knowledge of information security through internal training programs.

Read the full bilingual original

--------------------------------------------------------------

Le rôle

Un bon modèle ne suffit pas, à lui seul, à créer un bon assistant. Il faut bâtir l’agent qui l’entoure - la couche qui détermine ce que le conducteur voulait dire, appelle la bonne fonction du véhicule, gère les questions de suivi et se rétablit avec élégance lorsqu’un problème survient à 100 km/h. Voilà l’essence de ce rôle. Vous serez responsable d’un domaine de l’assistant, vous développerez l’agent qui le prend en charge sur notre plateforme xUI™ et vous veillerez à ce qu’il fonctionne aussi bien dans le nuage qu’en périphérie.

Ce que vous ferez

Développer et prendre en charge l’un de nos agents spécialisés par domaine, de la conception au déploiement, puis sur le terrain
Concevoir l’interface d’appel de fonctions qu’un grand modèle de langage utilise pour accomplir des tâches concrètes - régler la climatisation, lancer une chanson ou définir une destination - et la rendre robuste face aux nombreuses façons dont un conducteur peut formuler sa demande
Faire fonctionner un même agent dans le nuage et en périphérie, tout en conservant une base de code commune plutôt que des versions distinctes
Intégrer les capacités des grands modèles de langage au comportement du produit : conception de requêtes, recherche d’information, sélection d’outils et gestion de conversations non linéaires
Maintenir un haut niveau de qualité grâce aux tests automatisés, à la mesure concrète du comportement des agents et à une réduction réelle du nombre d’anomalies
Travailler selon une approche d’ingénierie agentique - les agents de programmation fondés sur l’IA sont au cœur de notre façon de développer, et nous voulons que vous contribuiez à faire progresser cette pratique
Collaborer avec l’équipe produit pour transformer une intention d’expérience utilisateur en un agent qui la traduit réellement dans son utilisation

Environnement technologique

Langages : Python, TypeScript
IA : intégration de grands modèles de langage - conception de requêtes, appels de fonctions et d’outils, génération augmentée par la recherche
Qualité : tests automatisés, évaluation comportementale de systèmes non déterministes
Méthodes de travail : Git, intégration continue et utilisation quotidienne d’agents de programmation fondés sur l’IA

Ce que vous apportez

Vous avez développé et pris en charge un service en production suffisamment longtemps pour assumer les conséquences de vos propres décisions de conception
Solide maîtrise de Python
Vous avez utilisé les grands modèles de langage comme composants de base - en concevant des requêtes, en leur donnant accès à des outils et en évaluant des comportements non déterministes
Vous avez un véritable souci de la qualité : vous rédigez des tests, effectuez des revues réfléchies et soulevez tôt les questions de conception difficiles
Vous êtes à l’aise de travailler sur une plateforme en évolution, où les réponses ne sont pas toujours encore documentées
Vous collaborez efficacement avec différentes disciplines et savez expliquer des compromis techniques à des personnes qui n’ont pas votre expertise

Atouts

Expertise approfondie en TypeScript ou Node.js
Expérience, même limitée, de l’adaptation de modèles de langage par réglage fin ou apprentissage par renforcement
Connaissance des contraintes des systèmes embarqués ou de périphérie : mémoire limitée, absence de réseau et exigences strictes en matière de latence
Expérience des technologies vocales, des interfaces conversationnelles ou des logiciels automobiles
Expérience pratique de l’utilisation d’agents de programmation fondés sur l’IA dans votre propre flux de travail

Ce que nous offrons

Nous offrons un généreux programme de rémunération et d’avantages sociaux, en plus du salaire de base, qui comprend notamment :

Échelle salariale : de 97 000 $ CA à 160 000 $ CA. Les offres se situent rarement au sommet ou près du sommet de cette échelle. Le salaire réel sera établi en fonction de l’expérience et d’autres facteurs liés au poste.
Possibilité de prime annuelle
Couverture d’assurance (soins médicaux, soins dentaires, soins de la vue, assurance vie et assurance invalidité)
Congés payés
Jours fériés payés
Cotisation de l’entreprise au REER canadien (régime enregistré d’épargne-retraite)
Attribution d’actions pour certains postes et niveaux
Possibilité de travail à distance ou hybride, selon le poste

Toute rémunération et tout avantage social sont assujettis aux modalités des régimes ou programmes applicables et peuvent être modifiés, supprimés ou remplacés périodiquement.

The Role

What You’ll Do

Build and own one of our domain-specific agents, from design through release and into the field
Design the function-calling surface an LLM uses to actually do things - adjust the climate, queue up a song, set a destination - and make it robust to the many ways a driver might ask
Make a single agent work in the Cloud and on the Edge, keeping the codebase shared rather than forked
Integrate LLM capabilities into product behaviour: prompting, retrieval, tool selection, and handling conversations that don’t go in a straight line
Hold the quality line - automated tests, real measurement of agent behaviour, and driving bug counts down rather than around
Work in an Agentic Engineering workflow - AI coding agents are a core part of how we build here, and we want you helping push that further
Partner with product to turn a UX intention into an agent that genuinely feels that way to use

Tech Stack

Languages: Python, TypeScript
AI: LLM integration - prompting, function and tool calling, retrieval-augmented generation
Quality: automated testing, behavioural evaluation of non-deterministic systems
Workflow: Git, CI, and AI coding agents as a daily tool

What You Bring

You’ve built and owned a production service, and stayed with it long enough to live with your own design decisions
Strong Python
You’ve worked with LLMs as building blocks - prompting them, giving them tools, and evaluating behaviour that isn’t deterministic
You have a real quality instinct: you write the tests, you review thoughtfully, and you raise the awkward design question early rather than late
You’re comfortable building on a platform that’s still evolving, where the answer isn’t always documented yet
You work well across disciplines and explain technical trade-offs to people who don’t share your background

Nice to Have

Depth in TypeScript or Node.js
Experience adapting language models through fine-tuning or reinforcement learning, even lightly
Exposure to embedded or edge constraints: limited memory, no network, hard latency budgets
Background in voice, conversational interfaces, or automotive software
Hands-on experience using AI coding agents in your own workflow

What We Offer

We offer a generous compensation and benefits package, in addition to the base salary, including:

Salary range: $97,000 CDN–$160,000 CDN. It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.
Annual bonus opportunity
Insurance coverage (medical, dental, vision, life, and disability)
Paid time off
Paid holidays
Company contribution to the CDN RRSP (Registered Retirement Savings Plan)
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amen terminated, or replaced from time to time

For more information, visit www.cerence.ai.

EQUAL OPPORTUNITY EMPLOYER

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:

Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
Following security procedures to report any suspicious activity.
Having respect for corporate security procedures to allow those procedures to be effective.
Adhering to company's compliance and regulations.
Encouraging to follow a zero tolerance for workplace violence.

Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

Demonstrative knowledge of information security through internal training programs.

Apply About employer

More about this job

Responsibilities

You will design and own domain-specific AI agents on the xUI platform, ensuring they function effectively in both cloud and edge environments. This involves integrating LLM capabilities like function calling and retrieval-augmented generation while maintaining high quality through automated testing and agentic engineering workflows.

Requirements

The role requires strong proficiency in Python and hands-on experience building production services using LLMs as core components. Candidates should have a deep understanding of software quality, the ability to work with evolving platforms, and effective cross-disciplinary communication skills.

Skills

Python
TypeScript
Node.js
Large Language Models
Prompt engineering
Function calling
Tool calling
Retrieval-augmented generation
Automated testing
Git
CI/CD
Embedded systems
Edge computing
Conversational interfaces
Automotive software

Benefits

Annual bonus opportunity
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Paid time off
Paid holidays
RRSP contribution
Equity awards

Visa sponsorship

Not detected in the job text

Keywords

AI Developer
AI Agents
Python
TypeScript
Node.js
LLM
Prompt Engineering
Function Calling
Retrieval-Augmented Generation
Automated Testing
Git
CI/CD
Embedded Systems
Edge Computing
Conversational AI
Automotive Software
xUI Platform
Agentic Engineering
Cloud Computing
Software Engineering
Machine Learning
Fine-tuning
Reinforcement Learning
Latency Optimization
Voice Technology

Report this job