Join as a Senior AI Engineer driving innovative solutions through expertise in LLMs and Retrieval-Augmented Generation. Leverage your knowledge in AI fundamentals to build scalable applications.
The role requires 8-10 years of relevant experience in Apps Development or systems analysis, with verified skills in deep learning, NLP, and advanced RAG pipeline implementation. You will focus on deploying GenAI models in production, ensuring high deployment standards with CI/CD practices, all while working in a collaborative environment.
Key Responsibilities:
• Develop scalable AI applications using LLM technologies
• Implement and optimize advanced RAG pipelines
• Create effective prompt engineering frameworks and templates
• Establish solid deployment pipelines using CI/CD tools




• Collaborate with teams to address complex AI challenges
Requirements:
• 8-10 years in applications development or analysis roles
• Solid programming background in Python and related libraries
• Familiarity with container orchestration tools like Kubernetes
• Proven success in deploying models to production
• Experience with vector databases for efficient data management
Harness your AI and ML expertise to contribute meaningfully to innovative projects, transforming the landscape of generative AI applications.
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📌 Senior AI Engineer Specializing in LLMs and RAG Techniques (Mississauga)
🏢 Tekshapers
📍 Mississauga