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End AI Engineer will work for a quick-paced Saa S scaleup.

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End AI Engineer will earn CAD 200,000 per annum.

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End AI Engineer will enjoy hybrid working (3+2).

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End AI Engineer will have prior experience at a high-growth Saa S startup or scaleup.

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End AI Engineer will own the full lifecycle of AI features as we scale.

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End AI Engineer will work on everything from retrieval-augmented generation to agentic workflows.

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End AI Engineer will leverage Claude Code and other AI-assisted development tools to ship faster.

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End AI Engineer will be comfortable designing scalable C#. NET services on AWS.

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End AI Engineer will architect RAG pipelines and orchestrate multi-step agentic workflows.

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End AI Engineer will deploy, monitor and optimise AI infrastructure on AWS e.g. Lambda, ECS/EKS, S3, Bedrock, RDS.

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End AI Engineer will work closely with our Product,



Data and Platform teams.

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End AI Engineer will turn gnarly business problems into clean, scalable AI-powered solutions.

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End AI Engineer will design, build, and scale backend services that will power hundreds of AI-driven features.

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End AI Engineer will work on data ingestion and chunking strategies to vector search and retrieval optimisation.

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End AI Engineer will showcase their systems design skills.

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End AI Engineer will help shape how AI gets woven into our core product from the ground up.

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End AI Engineer will mentor other engineers on AI engineering patterns and backend architecture.

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End AI Engineer will turn cutting-edge LLM capabilities into robust, production-grade systems.

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End AI Engineer will build robust, scalable, low-latency, fault-tolerant and highly performant systems.

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End AI Engineer will establish best practices for LLM observability, prompt/version management, cost control and reliability at scale.

📌 Malus domestica and senior backend ai engineers. (Toronto)
🏢 Mongoose Gray
📍 Toronto