Top Tech Jobs & Startup Jobs in Montreal

Build and own domain-specific AI agents for Cerence’s automotive assistant platform, from design through production deployment. Responsibilities include LLM prompting, function and tool calling, retrieval, conversational handling, cloud and edge compatibility, automated testing, behavioral evaluation, and production quality improvement. The role partners with product teams to translate user experience goals into reliable conversational agents.

Build and own domain-specific AI agents for Cerence’s automotive assistant platform. Responsibilities include designing LLM function-calling interfaces, integrating prompting, retrieval, tool selection, and conversational handling, and deploying shared agents across cloud and edge environments. The role emphasizes automated testing, behavioral evaluation, production reliability, collaboration with product teams, and agentic engineering practices.

Owns Cerence’s integrated global compliance management system across quality, HSE, security, privacy, legal/regulatory, and internal controls. Establishes policies, governance, risk prioritization, audit processes, and evidence frameworks; translates international regulations into operational controls; supports automotive cybersecurity, privacy, OEM, and SOX-related requirements; manages audits and corrective actions; and reports compliance risks to executives and the Audit Committee.

Develop speech dialog system applications for Android, implement VUI/GUI, ensure app performance, collaborate on features, fix bugs, and maintain code quality.

Develop speech dialog systems for Android, ensure performance and quality, collaborate on features, port systems, and maintain code quality.

Build the application and cognitive layer for humanoid robots, translating speech, gestures, and contextual inputs into robotic actions. Develop behavior trees, state machines, voice applications, multimodal interaction systems, agentic AI workflows, and integrations with robotics capabilities. Work across LLMs, VLMs, perception, edge/cloud systems, telemetry, testing, observability, CI/CD, and production deployment for human-robot experiences.

Design and implement advanced Generative AI models, optimize performance for LLMs, and collaborate with cross-functional teams to innovate AI solutions within the automotive sector.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Lead research and engineering work on LLM-based architectures for dialog, search, and destination entry. Optimize LLMs via prompting and fine-tuning, integrate them with ASR, TTS, and vision systems, and collaborate cross-functionally to deliver performant, resource-constrained solutions for automotive voice assistants.

Lead technical engagements with robotics customers to design and integrate voice AI into mobile robots, own POCs and technical evaluations, clear deployment roadblocks, collaborate with sales/product/services, and feed customer learnings into the product. Travel across Europe for onsite evaluations (20–30%).