Deutsche Bank Group
SeniorFull-stackAIEngineer(f/m/x)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Full-stack AI Engineer (f/m/x) at Deutsche Bank Group. Skills: Full-stack AI Engineering, Python, Agent Architectures, Microservices, DevOps, GCP, Large Language Models. Design, development, and operation of end-to-end full-stack AI solutions. Database design”
What You'll Achieve.
Perform complex tasks; Integrate seamlessly with enterprise systems; Continuously evolve based on operational feedback; Ensure compliant and responsible adoption of AI use cases across the organization
Industry & Context.
Problem-solving mindset
What They're Looking For.
Must Have
Several years of relevant professional experience in DevOps, AI engineering, Python development, data analytics, or related AI-driven environments., experience in designing and deploying enterprise-grade AI solutions, including experience with large language models, agent architectures, and modern AI development frameworks., Proven expertise in Python, Google ADK, GCP, vector databases, DevOps tooling, GitHub, Terraform, and the implementation of scalable microservice architectures., communication and stakeholder management skills, with the ability to effectively collaborate across business and technology teams., High level of ownership, proactivity, and problem-solving mindset, with the ability to work independently and drive complex topics forward., understanding of responsible AI principles and ethical considerations in enterprise environments.
Nice to Have
German knowledge is an advantage.
What You'll Do.
and operation of end-to-end full-stack AI solutions
Python-based microservices development
Modern web frontend development
and compliance in production environments
Ownership and continuous improvement of CI/CD pipelines
and automated development
and deployment processes for AI and ML applications
Driving the development
and deployment of AI models
and scalability of AI models across diverse enterprise environments
Leading the design and implementation of agentic AI use cases
Development of multi-agent workflows
Development of custom tools and integrations
Integrating AI solutions into enterprise ecosystems
Configuration of MCP servers
Development of Python-based tools
Development of ETL pipelines
Development of microservices
Orchestration of AI workloads on OpenShift and Google Kubernetes Engine
Continuous optimization of underlying infrastructure
How You'll Work.
Team & Collaboration
Close collaboration with business and technology stakeholders; Proactive identification of opportunities to enhance AI capabilities; Advisory on best practices for scalable AI solutions; Cross-functional collaboration; Working collaboratively
Communication Scope
Excellent verbal and written communication skills; Ability to effectively communicate complex technical concepts to diverse audiences
Process & Methodology
Ability to work independently and drive complex topics forward
Full Job Description
## _**Job Description:**_ *English version below* **Über den Bereich** Sie werden Teil eines dynamischen und agilen AI‑Teams innerhalb von TDI mit Fokus auf die Entwicklung und Implementierung intelligenter, agentenbasierter KI‑Lösungen. Der Schwerpunkt Ihrer Rolle liegt in der eigenverantwortlichen Konzeption, Umsetzung und Weiterentwicklung autonomer KI‑Agenten, die komplexe Aufgaben übernehmen, sich nahtlos in Enterprise‑Systeme integrieren und kontinuierlich aus ihren operativen Umgebungen lernen. Als erfahrener Full‑Stack AI Engineer (d/m/w) übernehmen Sie eine aktive Rolle bei der Weiterentwicklung von AI‑Anwendungen und skalierbaren Full‑Stack‑AI‑Lösungen auf Basis von Python, Large Language Models, Agentenarchitekturen und Prompt Engineering. In enger Zusammenarbeit mit Kolleginnen und Kollegen aus TDI sowie relevanten Stakeholdern treiben Sie die Entwicklung und Integration neuer KI‑Anwendungsfälle voran, bringen sich aktiv in Architektur‑ und Designentscheidungen ein und stellen eine regelkonforme sowie nachhaltige Integration in unternehmensweite Workflows sicher. **Ihre Aufgaben** * Konzeption, Entwicklung und Verantwortung von End-to-End Full‑Stack‑AI‑Lösungen, einschließlich Datenbankdesign, Python‑basierter Microservices und moderner Web‑Frontends, unter Sicherstellung skalierbarer, sicherer und konformer Produktionsumgebungen. * Verantwortung für den Aufbau, die Weiterentwicklung und den Betrieb effizienter CI/CD‑Pipelines sowie Sicherstellung stabiler und automatisierter Entwicklungs‑, Test‑ und Deploymentprozesse für AI‑ und ML‑Anwendungen. * Steuerung der Entwicklung, des Fine-Tunings sowie der produktiven Bereitstellung von AI‑Modellen, einschließlich Sicherstellung von Robustheit, Performance und Skalierbarkeit über verschiedene Umgebungen hinweg. * Eigenverantwortliches Vorantreiben der Konzeption und Umsetzung agentenbasierter AI‑Use Cases, einschließlich der Entwicklung von Multi‑Agent‑Workflows und individueller Function Tools. * Verantwortu
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