AI That Moves the World. 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 prospect to make a visible impact, help shape Cerence AI’s next chapter, and move your own career forward. 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 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 Python, TypeScript Qualité : tests automatisés, évaluation comportementale de systèmes non déterministes Git, intégration continue et utilisation quotidienne d’agents de programmation fondés sur l’IA Solide maîtrise de Python 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 collaborez efficacement avec différentes disciplines et savez expliquer des compromis techniques à des personnes qui n’ont pas votre expertise Expertise approfondie en TypeScript ou Node.Js Expérience, même limitée, de l’adaptation de modèles de langage par réglage fin ou apprentissage par renforcement 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 Couverture d’assurance (soins médicaux,



soins dentaires, soins de la vue, assurance vie et assurance invalidité) Cotisation de l’entreprise au REER canadien (régime enregistré d’épargne-retraite) 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.

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. 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. Build and own one of our domain-specific agents, from design through release and into the field 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 Languages: Python, TypeScript AI: Quality: Git, CI, and AI coding agents as a daily tool 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 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 OfferWe offer a generous compensation and benefits package, in addition to the base salary, including: Annual bonus opportunity Insurance coverage (medical, dental, vision, life, and disability) 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 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.

EQUAL OPPORTUNITY EMPLOYERCerence 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. Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.

Having respect for corporate security procedures to allow those procedures to be effective. Basic knowledge of information security and data privacy requirements (e.how to protect data & how to be handling this data). Demonstrative knowledge of information security through internal training programs. #

📌 Senior Ai Developer — Ai Agents (Winnipeg)
🏢 Cerence
📍 Winnipeg