Senior AI Engineer @ x1F

Your skills and experience AI & Agentic Systems: Strong hands-on experience with AI/ML systems, especially Large Language Models, NLP, and agent-based architectures, including real-world implementation of AI-driven solutions and business process integration. LLMs & Advanced AI Methods: Deep understanding of LLM capabilities and limitations, including prompt engineering, fine-tuning, self-hosted models, and explainable AI approaches. RAG & Data Architectures: Experience in building Retrieval-Augmented Graph (RAG) and data architectures for large-scale AI applications. Agent-based Systems: Proficiency in designing and implementing agent-based systems that integrate with other AI/ML components. Business Process Integration: Strong understanding of how to integrate AI-driven solutions into business processes, including process automation, decision-making, and predictive analytics. Data Analysis & Visualization: Ability to analyze and visualize complex data sets using various tools and techniques. Communication Skills: Excellent communication skills for presenting technical information to both technical and non-technical stakeholders.