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 workplace. 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.

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📌 Generative AI Solutions Engineer (Ontario)
🏢 Ethereum Technologies
📍 Ontario