Senior Agentic AI Engineer

In this role you design and deploy autonomous AI systems, turning GenAI experiments into enterprise‑ready solutions. You’ll shape architectures for RAG pipelines, LLM orchestration, and multi‑agent setups while guiding clients on AI strategy, governance, and MLOps. You work with semantic technologies to boost reasoning through Knowledge Graphs and ontologies, applying cutting‑edge tools in real‑world contexts. This is a hands‑on, high‑impact position in a culture that values innovation and structured career growth.Retribuzione / Benefits

• Design modern GenAI architectures including RAG pipelines and LLM orchestration
• Develop and integrate multi‑agent systems and NLP/Computer Vision applications
• Guide clients on AI strategy, MLOPs/LLMOps adoption, and governance for scalability and security
• Develop ontologies, Knowledge Graphs and structured data models to enhance reasoning
• Collaborate with cross‑functional teams to apply semantic technologies and keep pace with latest advancements
• Experiment with new technologies in real‑world contexts in a fast‑moving environment

• Bachelor’s or Master’s degree in a relevant field
• Expertise in Generative AI and LLMs
• Experience with LLMs, RAG, and AI agents orchestration
• Mastery of agentic systems and enterprise stack, including cloud security and governance
• MLOps/LLMOps experience with CI/CD for AI, and model monitoring