Ai developer állások, munkák

As a founding member of our newly created Group AI Solutions team, you build our AI engineering capability from the ground up: tech stack, pipelines, platform and engineering standards, the foundation on which all future AI value across the group is built....

• Native Swift/iOS application development
• User interface and function design as planned
• Participation in requirements gathering, project and technical planning
• Unit and UI test writing
• Developer testing participation
• Continuous learning
• Staying up-to-date with current technology trends in iOS development

• Servicenow platform testreszabása és fejlesztése az üzleti igényeknek megfelelően
• Integrációk tervezése és megvalósítása meglévő rendszerekkel
• Új modulok és alkalmazások fejlesztése és implementálása
• Folyamatos együttműködés a projektcsapattal és a belső ügyfelekkel

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests
• Participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Processing sick leave applications into SAP system
• Advising employees on sick leave queries using HR Contact Center procedures and policy manuals
• Generating reports on sick leave usage and clarifications
• Documenting transactions and customer inquiries in HR Contact Center case management technology

• Develop and maintain clean-core compliant extensions for SAP S/4HANA Public Cloud.
• Implement developer extensibility using released APIs, CDS Views, BAdIs, and SAP-supported extension mechanisms.
• Build side-by-side applications on SAP BTP using CAP, ABAP Cloud, SAP Build, and related technologies.

• Building and leading multiple AI directions within a unified strategy
• Defining and owning the overall AI roadmap and priorities across domains
• Designing scalable AI and ML architectures suitable for production
• Translating business needs into practical and impactful AI solutions

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Definition and execution of the company’s AI strategy
• Guidance on selection, development, and usage of internal AI solutions
• Adoption of emerging AI technologies
• Contribution to technical thought leadership through white papers, guides, and case studies

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes
• Deployment automation, monitoring, troubleshooting and incident resolution

• ensure that our Private Cloud landscape is equipped with robust, efficient, secure, and scalable custom developments.
• You will collaborate closely with functional experts, architects, integration teams, and business stakeholders to turn requirements into clean, stable, and maintainable SAP solutions.

• Delivery of AI-assisted handover and due diligence support with emphasis on automation, repeatability, evidence generation, and reusable workflow packaging
• Creation of repeatable AI-assisted workflows for assessment, documentation, and transition of a cloud software stack derived from OpenStack

• Development and implementation of CoreMedia-based content management systems for web projects
• Integration and optimization of Deutsche Telekom interfaces and services into CoreMedia-based systems
• Technical planning, system architecture and execution of complex software projects

• Backend development with Spring-based enterprise applications
• Integration with internal and external systems via REST and SOAP
• Secure API design and implementation
• Production support, monitoring, and performance optimization
• Occasional frontend work (JSF/React/Angular)

• Lead development efforts
• Contribution to discussions and support of decision-making
• Mentoring and support of team members
• Building web applications with modern technologies
• Understanding business needs and turning them into technical solutions
• Close collaboration with customers and teammates

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting, and technical requirements

• Development of web applications in a team using newest technologies
• Implementation of new functionalities in backend and frontend
• Design and estimation of user stories
• Participation in system design
• Design of user interfaces and functions as planned
• Participation in product roadmap design

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions