AI DevOps (mfd)

• Develop and maintain AI-driven applications and services used in our financial analytics environment
• Implement and optimize LLM-based features including fine-tuning and evaluation improvements
• Build and enhance Retrieval-Augmented Generation (RAG) pipelines and work with vector databases
• Integrate Model Context Protocol (MCP) and modern LLM agent frameworks into our systems
• Improve CI/CD and deployment workflows in Kubernetes environments (e.g. ArgoCD Helm)
• Collaborate closely with developers data engineers and other technical teams
• Contribute ideas improvements and innovations to continuously advance our AI and data infrastructure

• Degree in Data Science Information Engineering or a related field
• 35 years of professional experience in an AI/ML engineering environment
• Proven track record in developing productive AI applications especially with LLMs
• Strong Python programming skills
• Proficiency when working with Docker and Kubernetes
• Experience with cloud platforms (AWS GCP Azure) or CI/CD tools such as Jenkins GitLab CI or ArgoCD required
• High attention to detail precise working style and strong focus ability
• Strong interest in stock markets capital markets and financial systems
• Very good communication skills in English (written and verbal) German is a plus

Our Employees Are Our Most Valuable Asset.