# Senior AI Engineer - RAG & Agentic Systems - Production LLM Deployments

Location GermanyDesired Salary UnspecifiedWork preference Full TimeLinks Joined15 Jun 2026Field / Industry Software Engineering

* SharePreferences:Status: Actively lookingRelocation: NoNotice Period: ImmediateSkill Assessments:This user has not passed any tests yet

Languages:  English -   German -   Portuguese -

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[Overview](#overview)

## About Me

I am a Senior AI Engineer specializing in production-grade large language model (LLM) systems, with over 5 years of experience spanning machine learning, backend systems, and cloud infrastructure. My expertise lies in delivering Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and conversational AI solutions tailored for enterprise clients in regulated industries such as banking and insurance. I have a proven track record of building compliant AI systems using technologies like Azure, Docker, and Kubernetes.

Throughout my career, I have worked fully remotely in client-facing roles across international teams, primarily serving clients in the EU and US markets. This experience has honed my consulting skills and ability to collaborate effectively across diverse cultural and regulatory environments. I am fluent in English, German, and Portuguese, which enables me to work seamlessly with teams and clients across DACH, LATAM, and global regions.

I have designed and deployed AI services in hybrid and on-premises environments, ensuring full compliance with GDPR and sector-specific data protection regulations. My work includes leading enterprise-wide rollouts of automation platforms such as n8n, replacing manual workflows with reusable AI-driven processes that improve operational efficiency.

My technical skills encompass the full AI project lifecycle, from building document classification APIs and NLP pipelines to deploying scalable machine learning applications on cloud infrastructure. I have also contributed to autonomous systems, applying deep learning and reinforcement learning techniques to robotics and vehicle control, and pioneering early-stage LLM integration for speech-driven human-robot interaction.

I hold a Master of Science in Computational Engineering Science and a Bachelor of Science in Aeronautical and Aerospace Engineering from Technische Universität Berlin. My academic background complements my practical experience, focusing on machine learning, robotics, automation, and embedded software development.

I am open to senior remote positions worldwide where I can leverage my expertise in AI systems, workflow orchestration, and cloud architecture to deliver impactful solutions. I am passionate about advancing AI technologies that drive business transformation and operational excellence.

## Skills

### [Problem Solving](https://jobicy.com/talent/problem-solving.md)[Python](https://jobicy.com/talent/python.md)[Data Analysis](https://jobicy.com/talent/data-analysis.md)[Kubernetes](https://jobicy.com/talent/kubernetes.md)[Docker](https://jobicy.com/talent/docker.md)[Azure](https://jobicy.com/talent/azure.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[Automation](https://jobicy.com/talent/automation.md)[Consulting](https://jobicy.com/talent/consulting.md)[NLP](https://jobicy.com/talent/nlp.md)

## Education

Technische Universität Berlin  Oct 2021 - Jun 2024  Master of Science in Computational Engineering Science

Focused on machine learning and robotics, including projects such as Reinforcement Learning for Automated Trading on the Cryptocurrency Market. Program emphasized machine learning, automation, image processing, and control engineering.

Technische Universität Berlin  Apr 2018 - Apr 2022  Bachelor of Science in Aeronautical and Aerospace Engineering

Focused on flight mechanics and embedded software development. Designed a system to measure rigid-body and structural dynamics of a flexible aircraft and developed telemetry software for a drone using Python and C.

## Experience

Consultant – Artificial Intelligence and Data Analytics @ PPI AG  Sep 2025 - on-going Designed and deployed production-grade LLM systems (RAG, agentic workflows) for enterprise clients in banking and insurance. Built conversational AI solutions automating knowledge retrieval and customer interaction workflows. Architected AI services in hybrid/on-prem environments (Azure, Docker, Kubernetes) ensuring GDPR compliance. Led enterprise-wide rollout of n8n as an internal automation platform, enabling reusable AI-driven processes.

Freelance AI Developer & Data Scientist @ Independent – International Clients (EU, US, UK)  Jan 2024 - Aug 2025 Delivered end-to-end AI solutions managing full project cycles independently across distributed teams. Built document classification API and NLP pipeline to improve procurement decision throughput. Designed and deployed scalable ML applications on cloud infrastructure, delivering production-ready systems within timelines.

Data Scientist - Autonomous Systems Team @ IAV GmbH  Jan 2020 - Dec 2023 Designed and deployed ML systems for autonomous driving and robotics using Python, ROS, Docker, and Kubernetes. Applied deep learning and reinforcement learning to vehicle control and sensor fusion. Pioneered early-stage LLM integration into mobile robotic platforms enabling speech-driven human-robot interaction for enterprise knowledge sharing.