Generative AI architecture and Python expertise define this engineering role, focused on scalable products and cloud-native solutions within Agile delivery.You will lead and contribute to AI products, pilots, and solutions using Python, React, and AWS tools. The work includes LLM pipelines, Agentic AI, MCP, Graph/RAG architectures, and prompt-based applications. You will collaborate with product managers, data scientists, and domain experts.Key Responsibilities:

Develop maintainable AI products, pilots, and solutionsDesign scalable Gen AI architectures and LLM pipelinesImplement AWS cloud-native solutions using EKS and LambdaOptimize performance through experimentation with Gen AI methodsOwn delivery, milestones, metrics, and reliability improvementsRequirements:

8+ years total experience and 6+ years engineering experience1–2 years leading emerging technology or AI initiativesProficiency with GPT, Claude, Gemini, LLaMA, and prompt engineeringExperience with LangChain, LlamaIndex, and Amazon BedrockBachelor’s or Master’s degree in a related technical fieldApply advanced Python, AWS, and Gen AI architecture skills to build scalable solutions and guide end-to-end Agile delivery.

📌 Generative Ai Solutions Engineer (Winnipeg)
🏢 MACHINE LEARNING TECHNOLOGIES
📍 Winnipeg