Principal Generative AI Engineer - Agentic Systems at appliedAI Initiative

The appliedAI Initiative elevates Europe's industry to become shapers in the age of AI through partnerships and comprehensive programs advancing organizations on their AI journey. Approximately 90-person team. Responsibilities: - Architect and build: Lead the design, coding, and implementation of advanced multi-agent systems, agentic workflows, and complex RAG architectures - Drive end-to-end agentic AI program development from prototype to production - Set engineering standards for code quality and autonomous system safety - Guide technical teams through clear direction and code reviews - Innovate with latest agent frameworks (LangGraph, AutoGen, CrewAI) to improve solutions - Collaborate with stakeholders to translate technical concepts into actionable recommendations Requirements: - Master's or PhD in Computer Science, Machine Learning, or related field - 8+ years software/AI engineering; 3+ years with Generative AI and agent focus - Expert-level Python proficiency - Deep experience with frameworks: LangChain, LangGraph, AutoGen, CrewAI, or similar - Proven production-scale agentic AI implementations - Understanding of Transformer architectures, advanced RAG, and multi-agent patterns - Cloud platform experience (Azure, AWS, GCP) with MLOps/LLMOps practices - Fluent German and English required Benefits: - Hybrid work (office/remote flexibility) - Unlimited professional development budget - Sabbatical option (up to 3 months after 3 years) - Wellness programs, workation options, mobility budget Contact: Lucas Fernandes, Senior Talent Acquisition Specialist Posted: November 7, 2025.