Senior Generative AI Engineer Toronto
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Document AI requirements through stakeholder workshops and technical deep dives Define model architectures, feasibility, and success metrics Design vector database ingestion pipelines and embedding strategies Develop prompts and orchestration workflows using AI frameworks Monitor model performance, drift, and hallucination rates Requirements:
11+ years in Information Technology, Software Engineering, or Data Science 3-5 years focused on AI or machine learning engineering Advanced Python and relevant machine learning library proficiency Generative AI, LLM, prompt engineering, and vector database knowledge Bachelor’s or Master’s degree in a related field Apply senior AI architecture, Generative AI, Python, and RAG expertise to Celestica’s production-focused Toronto engineering work.
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