• 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.

• Build and evolve MAIA's core product capabilities • Focus on backend and AI systems • Design, implement, and ship features from discovery to production rollout • Build and iterate on RAG pipelines, retrieval strategies, and LLM integrations • Build evaluation approaches for LLM features • Proactively scout new technologies and translate findings into production-ready solutions • Collaborate closely with Product, DevOps, and customer-facing teams

• Design and build the core systems powering Jimdo Companion, including agent orchestration, recommendation engines, and scalable APIs. • Develop AI-powered features that automate real business tasks and improve customer outcomes. • Build high-quality backend services and engaging frontend experiences using modern full-stack technologies. • Design, evaluate, and optimise LLM-powered workflows, prompts, guardrails, and agent coordination. • Build reusable AI platform capabilities that empower other engineering teams to create AI-enabled products. • Partner closely with Product Managers, Designers, Data Analysts, and engineers to deliver customer-centric solutions. • Champion AI-augmented software development by leveraging modern AI coding assistants and sharing best practices across the engineering team.