Lead production-grade Generative AI architecture in Toronto, applying Node.Js, TypeScript, and cloud-native engineering to established software products.This Staff AI Engineer will own end-to-end AI systems across an established software platform. The work emphasizes Generative AI, machine learning, document intelligence, and practical production engineering. You will guide technical direction while balancing accuracy, reliability, scalability, performance, and cost.Key Responsibilities:
Lead end-to-end AI system design and implementationEvaluate LLM APIs, AI services, and open-source modelsEstablish standards for RAG, retrieval, and monitoringMentor engineers across AI, data, and software platformsBuild AI services within AWS microservices environmentsRequirements:
Seven-plus years of software engineering experienceFive-plus years deploying AI/ML systems in productionAdvanced Node.Js and TypeScript backend proficiencyHands-on LLM, Generative AI, and RAG experienceStrong AWS, Docker, microservices, and deployment experienceApply production AI leadership, Node.Js expertise, and architectural judgment to shape adoption across Toronto software platforms.
#J-18808-Ljbffr
📌 Staff Generative Ai Engineer Toronto (Winnipeg)
🏢 GuruLink
📍 Winnipeg
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.