Build Generative AI applications with LLMs and Python in Toronto’s hybrid workplace, contributing onsite three days each week. Develop production-ready solutions using contemporary AI frameworks. This Generative AI Engineer role requires 7+ years of overall experience and 3+ years of AI experience. You will create LLM-powered applications, RAG pipelines, and backend integrations. The work includes LangChain, LangGraph, LlamaIndex, or Semantic Kernel, alongside prompt engineering and context management. Key Responsibilities:

Design and deploy Generative AI applications using LLMs Build RAG pipelines with embeddings and vector databases Develop LLM workflows using up-to-date orchestration frameworks Integrate solutions with REST APIs and enterprise systems Optimize applications for reliable production deployment Requirements:

7+ years of overall experience 3+ years of AI experience Robust Python programming and API integration experience Hands-on Generative AI, LLM, and RAG experience Experience with at least one listed LLM framework Apply your Python, LLM, RAG, and framework expertise to Generative AI engineering in Toronto’s hybrid environment.
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📌 Generative Ai Engineer Llm Applications Winnipeg (Canada)
🏢 Quantum World Technologies
📍 Canada