Senior AI Engineer: Edge & Cloud Agents

Cerence Inc.; Montreal; Hybrid; CAD 97,000 - 160,000; Full time

Benefits offered by this job

Annual bonus

Medical, dental, vision, life and long

Paid time off

Paid holidays

RRSP matching

Equity awards

Remote and/or hybrid work available

Job summary

Cerence AI in Montreal is seeking a software engineer to own domain-specific agents on the xUI platform, bridging cloud and edge deployments, and integrating LLM capabilities into product behavior.

You will design function-calling surfaces, write robust prompts, and collaborate with product and engineering teams to deliver reliable, high-quality AI-driven experiences in automotive and embedded contexts.

Qualifications

• Production service ownership and long-term commitment.
• Strong Python expertise.
• Experience with LLMs as building blocks — prompting, giving tools, evaluating non-deterministic behavior.
• Quality-driven: writing tests, thoughtful reviews, early design questions.
• Comfort with an evolving platform where documentation may be incomplete.
• Ability to explain technical trade-offs across disciplines.

Responsibilities

• Build and own one of our domain-specific agents, from design through release to field.
• Design function-calling surfaces used by LLMs to perform actions and access tools.
• Ensure a single agent works in Cloud and Edge with a shared codebase.
• Integrate LLM capabilities into product behavior: prompting, retrieval, tool use.
• Maintain quality through automated tests and measurement of agent behavior.
• Collaborate with product to translate UX intentions into actionable agents.

Skills

Strong Python

LLM usage

Quality mindset

Cross-functional collaboration

Tools

TypeScript

Node.js

Job description

Cerence AI in Montreal is seeking a software engineer to own domain-specific agents on the xUI platform, bridging cloud and edge deployments, and integrating LLM capabilities into product behavior.

You will design function-calling surfaces, write robust prompts, and collaborate with product and engineering teams to deliver reliable, high-quality AI-driven experiences in automotive and embedded contexts.