Senior AI Systems Engineer — Edge & Cloud

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

Benefits offered by this job

Annual bonus

Insurance coverage

Paid time off

Remote and/or hybrid work

RRSP contribution

Equity awards

Job summary

Cerence AI in Canada is seeking an experienced software engineer to own a domain of the xUI agent platform, building production-grade agents that operate in the cloud and at the edge. You’ll design the function-calling surface for LLMs, integrate tools, and ensure robust behavior across real-world driver interactions.

You will collaborate with product, UX, and engineering teams to translate user intents into reliable agent behaviors, contribute to testing, and push the boundaries of AI coding

Qualifications

• You’ve built and owned a production service long enough to own design decisions.
• Solid Python knowledge with production experience.
• You’ve worked with large language models as building blocks, including prompting and tool access.
• You maintain a strong quality focus: write tests, review code, and raise early trade-offs.

Responsibilities

• Build and own a domain-specific agent from design to deployment and field use.
• Design function-calling surfaces for LLMs to perform concrete tasks reliably.
• Make a single agent work in the Cloud and on the Edge with shared code.
• Integrate LLM capabilities into product behavior and tool use.
• Maintain quality with automated tests and measurable agent behavior.
• Operate within an Agentic Engineering workflow and push that practice forward.
• Collaborate with product to translate user intents into usable agents.

Skills

Python

TypeScript

LLMs

Git

CI/CD

Cross-functional

Tools

Node.js

Job description

Cerence AI in Canada is seeking an experienced software engineer to own a domain of the xUI agent platform, building production-grade agents that operate in the cloud and at the edge. You’ll design the function-calling surface for LLMs, integrate tools, and ensure robust behavior across real-world driver interactions.

You will collaborate with product, UX, and engineering teams to translate user intents into reliable agent behaviors, contribute to testing, and push the boundaries of AI coding