• Design, build, and deploy AI-powered product features across Canals’ core workflows. • Develop and maintain LLM-powered systems, including agents, retrieval pipelines (RAG), and workflow automation. • Build machine learning models for operational use cases such as classification, forecasting, anomaly detection, and recommendation systems. • Own the full lifecycle of ML systems: data pipelines, experimentation, training, evaluation, deployment, and production monitoring. • Work closely with product, operations, and customer teams to identify high-impact AI opportunities. • Improve the scalability, reliability, and performance of AI infrastructure and inference systems. • Establish best practices for prompt engineering, model evaluation, observability, and cost optimization. • Collaborate with backend engineers to integrate AI systems deeply into product workflows. • Help shape Canals’ long-term AI strategy as we expand automation across the platform.

• Work on Agentic Systems and RAG pipelines to automate business logic • Develop backends using FastAPI/Flask and integrate with LLMs • Use Cursor, Claude Code, and LLMs to enhance development • Handle large-scale data processing and migrations for production environments

• Agentic AI Development & Deployment • AI-Driven PDD & Automation Package Generation • Prompt Engineering & Knowledge Systems • Process Optimization & Automation Strategy • Governance, Risk & Responsible AI

• Conception et développement de solutions IA en Python. • Mise en place de pipelines RAG (Retrieval Augmented Generation). • Exploitation du cloud AWS et en particulier des services IA/LLM (ex. Bedrock). • Intégration d’outils IA et d’orchestration (N8N, OpenAI, Claude, …). • Collaboration avec les équipes produit, data et dev. • Veille technologique sur les innovations IA et proposition d’idées/concepts.