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# Lead MLOps Engineer (Multimodal Agentic AI Systems

- **Company:** Conxai Technologies GmbH
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Containerization, Machine Learning Operations, Terraform, Docker
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/lead-mlops-engineer-multimodal-agentic-ai-systems-conxai-technologies-gmbh-8288197

## About the Role

* 5+ years in MLOps or ML Engineering, with experience in both NLP (LLMs) and Computer Vision
 * Agentic Expert: Deep familiarity with agentic frameworks like LangChain or LangGraph
 * Tech Stack: Expert in Terraform, Docker, and GitLab CI/CD pipelines
 * Strategic Mindset: You understand that an AI model is only as good as its production reliability and its impact on the user's ROI

## Description

As the Lead MLOps Engineer, you are the bridge between experimental ML models and scalable, reliable enterprise software. You will be responsible for the "factory line" of our AI - from training automation to the deployment of agentic tools. You'll ensure our multi-agent systems (LLMs + Computer Vision) remain performant, cost-effective, and accurate.

What You'll Do

 * Agentic Orchestration: Build and optimize the infrastructure for LangChain/LangGraph, enabling complex multi-agent reasoning
 * Training Automation: Develop automated pipelines for fine-tuning LLMs and training Computer Vision models specifically for industry use cases
 * Model Deployment: Containerize and deploy models using Docker and Terraform, ensuring low-latency inference for high-stakes workflows
 * Lifecycle Management: Implement monitoring for AI "silent failures," tracking model drift and performance metrics to ensure consistent customer success
 * ML Infrastructure: Manage the compute-heavy environments required for AI, optimizing for both performance and unit economics


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