23.09.2026 aktualisiert
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Senior AI & MLOps Engineer | LLMs & Agentic AI Specialist | Robotics & Edge AI
Heilbronn, Deutschland
Nur Remote
M.Sc. Information Technology from Universität StuttgartÜber mich
M.Sc. AI Engineer & OpenAI Codex Ambassador mit Fokus auf Agentic AI, RAG, MLOps und Computer Vision. Ich entwickle marktreife KI-Anwendungen und skalierbare Microservices – von Architektur und klassischem ML bis Deployment und Edge AI.
Skills
Generative AIArtificial Intelligence Markup Language (AIML)
LLM Systems & Agentic AI:
Expertise in building LLM workflows, RAG pipelines, Agentic AI applications, and Guardrails using tools such as Ollama, LangChain, and Open Router. Development of SaaS-style agentic applications including Document-AI, VidyaNav-AI, and Text-to-SQL systems with tool calling and structured outputs.
Machine Learning & Deep Learning:
Proficiency in Deep Neural Networks, Computer Vision, and MLOps. Design, training, and evaluation of image recognition, detection, and regression models on large-scale datasets, including CNN, GAN, Cycle GAN, YOLO, LSTM, and BERT architectures.
MLOps & Cloud Deployment:
Hands-on experience with FastAPI, Docker, MLflow, CI/CD pipelines, GitHub, GitLab CI, and Linux for cloud and local deployment. Implementation of end-to-end ML lifecycle management from data collection and model training to integration and deployment on platforms such as GCP, Coolify, and Hetzner.
Python Programming:
Primary programming language used across all ML, AI, and backend development projects, including PyTorch, TensorFlow, FastAPI, Pydantic, and Flask-based microservices.
Workflow Automation:
With n8n Creation of reusable n8n workflows to automate repetitive business and operational processes, including sales automation integrating Apollo, HubSpot, Instantly, and email services.
Computer Vision:
Application of computer vision techniques including pose and gaze estimation using MediaPipe, L2CS, and YOLO-Face models, as well as real-time object detection using ROS2 and PyTorch on autonomous driving datasets.
Software-Defined Vehicles & ROS2:
Design of modular and scalable MLOps-based frameworks to deploy on-board AI software in software-defined vehicles, targeting low inference latency and minimal deployment footprint using ROS2 and Docker.
AI Tools & Spec-driven Development:
Utilization of AI coding tools such as Codex, Claude-code, and Open Router. Application of SDLC, Spec-driven Development, and AGILW methodologies for structured and efficient software delivery.
Test Automation & ISTQB ISTQB:
Certified professional with experience in creating test strategies aligned with ISO26262 and ASPICE, writing functional and automated tests, and mentoring junior engineers on test automation and verification best practices.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2025
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Defined and implemented technical platform architecture using GCP, Coolify, and Hetzner. Designed system and solution architectures for customer-facing agentic AI applications. Built an n8n sales automation integrating Apollo, HubSpot, Instantly, and email services. Developed a Customer Service AI-Agent for automated email processing. Designed BrokerFlow-AI for mid-sized insurance brokers. Authored technical architectures and implementation plans for government proposals. Supported by Campus Founders.
Statistical Data Analysis and YOLO model fine-tuning on 100K images for autonomous driving.
Built SaaS-style Agentic-AI applications including Document-AI, VidyaNav-AI, and Text-to-SQL using Python, LLMs, Tool calling, RAG pipelines, and structured outputs. Designed RAG workflows with chunking, embeddings, retrieval, OCR, and LLM-based response generation. Created and presented working AI product demos in Germany.