Build scalable Gen AI products in Toronto using advanced Python, AWS cloud services, and up-to-date AI architectures within Agile delivery.

This AI Engineer role leads and contributes to Gen AI products, pilots, and cloud-native solutions. You will develop clean code with Python and React, design LLM pipelines, and apply Agentic AI, MCP, and Graph/RAG architectures. The work includes technical collaboration and end-to-end delivery.

Key Responsibilities:

- Develop AI products, pilots, and solutions using Python, React, and AWS
- Architect scalable LLM pipelines and Graph/RAG applications
- Implement cloud-native solutions with EKS, Lambda, Fargate, Glue, and Athena
- Optimize performance through Gen AI experimentation
- Define technical solutions with product and data teams

Requirements:

- 8+ years total experience and 6+ years engineering experience
- Experience leading emerging technology or AI initiatives
- Proficiency with GPT, Claude, Gemini, LLaMA, and prompt engineering
- Experience with LangChain, LlamaIndex, and Amazon Bedrock
- Bachelor's or Master's degree in a related field

Apply advanced Python, AWS, and Gen AI architecture expertise to scalable products and cloud-native solutions in Toronto.

📌 Generative AI Solutions Engineer (Toronto)
🏢 MACHINE LEARNING TECHNOLOGIES
📍 Toronto