Senior Agentic AI Engineer

I’m an AI engineer experienced in agentic AI, LLMs, RAG, Python, APIs, and n8n automation. I build reliable, maintainable AI workflows with testing, error handling, and clear documentation.

• Agentic AI
• Automotive Open System Architecture
• Bachelor of Engineer
• Computerprogrammierung
• Embedded Software1 J.
• Langgragh
• LLM
• Programming Languages
• Systems Engineering

I specialize in turning AI ideas into practical, reliable solutions. My focus is on agentic AI, large language model applications, RAG systems, and intelligent workflow automation using n8n.
I can help take a project from the initial idea through architecture, implementation, testing, and documentation. I prioritize solutions that are maintainable, secure, cost-conscious, and useful in real business environments—not just impressive prototypes. I communicate clearly, work independently, and provide regular progress updates throughout the project.
Whether you need an AI assistant, an automated business process, a knowledge-based chatbot, or a custom LLM workflow, I aim to understand the real problem first and then build the simplest effective solution. I also pay close attention to structured outputs, error handling, logging, fallback behavior, and human approval steps where needed.

I can offer skills in agentic AI, LLM application development, prompt engineering, RAG, semantic search, vector databases, Python, n8n workflow automation, REST APIs, webhooks, tool calling, and third-party service integration.
I can build AI agents that use tools, retrieve information, process documents, generate structured results, and automate multi-step tasks. I can also create n8n workflows for lead processing, document handling, data synchronization, notifications, reporting, content workflows, and human-in-the-loop approvals.
Additional skills include data extraction and transformation, chatbot development, workflow debugging, API testing, model evaluation, output validation, error handling, logging, Docker-based deployment, and technical documentation. I can improve existing workflows by reducing unnecessary steps, increasing reliability, controlling LLM costs, and making the overall system easier to maintain and extend.