About the Role
Build and operate conversational AI systems that handle customer interactions over phone and SMS. This role spans product and ML platform work, from developing LLM-powered features to creating the tooling and evaluation systems that help teams deliver reliable production experiences.
What You'll Do
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Build conversational AI systems that understand customer needs, take action, and escalate when appropriate.
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Develop agent memory, knowledge graph, and customization tools to help systems adapt to different workflows.
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Train, evaluate, and deploy models for prediction, classification, ranking, and capacity forecasting.
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Create offline and online evaluations, simulations, and CI checks to detect regressions and measure production quality.
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Build shared ML and LLM infrastructure for model serving, evaluation, observability, and product development.
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Monitor and maintain production models and agents, and improve them based on measured results.
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Contribute to technical reviews, documentation, and mentorship across engineering teams.
What We're Looking For
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At least 6 years of software or machine learning engineering experience, including a track record of shipping and operating ML or LLM systems in production.
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Strong Python skills and software engineering fundamentals, including writing reliable, maintainable, and testable code.
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Experience building conversational AI for phone or SMS, or related real-time and streaming systems such as voice, SIP, or WebRTC.
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Hands-on experience training and deploying ML models, or building LLM systems with prompting, tool use, agents, or retrieval.
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Experience with evaluation frameworks, simulations, production monitoring, or ML platform tooling.
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Familiarity with tools such as Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes, Pulumi, and AI provider APIs.
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Comfort taking ownership from problem definition through production, working with ambiguity, and supporting teammates through reviews and mentorship.
Compensation & Benefits
Base salary range: CAD 200,000 to CAD 250,000 annually.
Location
On-site in Montreal, Quebec, Canada.
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