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Added 5 mins ago
B
Managing Director - Cybersecurity & Core Technology Audit
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- Full-time
…software development, service management, technology operations, platform support, operational resilience, physical security, and technology-enabled transformation programs. Operating…
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- Full-time
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Added 51 mins ago
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- $65,000 to $80,000 CAD / year
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Added 2 hours ago
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Added 2 hours ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
…of the assistant, build the agent that serves it on our xUI™ platform, and make it work in the Cloud and on the Edge…
Added 2 hours ago
C
Senior AI Developer - AI Agents
Cerence
Montreal, QC
- Full-time
…of the assistant, build the agent that serves it on our xUI™ platform, and make it work in the Cloud and on the Edge…
Added 2 hours ago
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Cerence

Senior AI Developer - AI Agents

Montreal, QC, Canada

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

Apply About employer

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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

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