GUS Group

AI Engineer

• Integration and use of AI tools in the software development process (e.g., code assistants, LLMs, automations)
• Design and optimization of AI-assisted coding workflows
• Evaluation of new AI models, tools, and frameworks for software development
• Supporting the development team in using AI for coding
• Development of internal tools, prompts, and automations
• Analysis of productivity gains from AI and continuous improvement of processes
• Collaboration with development, DevOps, and product management

AI Coding Specialist – AI Engineer

Platform Engineer

• Design and further development of our AI/ML layer within the cloud platform
• Integration of LLMs and machine learning services into our business applications
• Development of APIs and microservices for AI functionality
• Building and operating MLOps pipelines for training, deployment, and monitoring of models
• Implementation of RAG architectures, embeddings, and vector search
• Integration of external AI services and models
• Ensuring scalability, performance, and security of AI services
• Collaboration with software, platform, and data teams
• Evaluating new AI technologies, frameworks, and tools

AI/ML Platform Engineer

Cloud Engineer

• Ensure a stable, secure and customer-focused operation of the SaaS platform
• Serve as the service owner for customer environments, including compliance with and monitoring of SLAs
• Contribute to improving customer satisfaction, operational transparency and scalability of the ERP platform
• Actively participate in the further development of the managed service portfolio and in the sustainable growth of the ERP SaaS business
• Ensure high availability, performance and security through proactive monitoring, maintenance, standardization and continuous optimization
• Provide operational support for ERP implementation and customization projects and ensure a smooth handover to the managed service
• Act as the central technical interface between customers, Professional Services, Support and Development, and coordinate and collaborate with external partners

Lead Cloud Platform Engineer

• Ensure a stable, secure and customer-focused operation of the SaaS platform
• Take responsibility for the operation of associated hosting and managed-service offerings
• Ensure high availability, performance and security through proactive monitoring, maintenance, standardization and continuous optimization
• Support ERP implementation and customization projects and ensure a seamless handover to the Managed Service
• Act as the technical interface between customers, Professional Services, Support and Development, and coordinate and collaborate with external partners
• Contribute to increased customer satisfaction, operational transparency and scalability of the ERP platform
• Help shape the further development of the managed-service portfolio and contribute to the sustainable growth of the ERP SaaS business

AI Coding Specialist – AI Engineer

AI/ML Platform Engineer

Lead Cloud Platform Engineer

Junior Cloud Platform Engineer