Build scalable Generative AI products with Python, React, and AWS tools while leading architecture across cloud-native solutions.

This AI Engineer role leads development within an Agile setting. You will create LLM pipelines, Agentic AI, MCP, and Graph/RAG architectures. The work spans Gen AI frameworks, AWS services, prompt engineering, and enterprise delivery.

Key Responsibilities:

- Lead development of AI products, pilots, and technical solutions
- Design scalable LLM pipelines and Graph/RAG architectures
- Implement AWS cloud-native solutions using EKS, Lambda, and Fargate
- Optimize performance through Gen AI experimentation and continuous learning
- Own delivery, milestones, reliability, governance, and DevSecOps adherence

Requirements:

- Eight-plus years total engineering experience
- Six-plus years progressive engineering experience
- One to two years leading AI or emerging technology initiatives
- Proficiency with GPT, Claude, Gemini, LLaMA, and prompt engineering
- Bachelor’s or Master’s degree in a related field

Apply advanced Python, AWS, and Generative AI expertise to deliver scalable architectures, products, and enterprise solutions.

📌 Generative AI Solutions Engineer (Toronto)
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