Ai developer állások, munkák it programozás, fejlesztés területen

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• 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

• You continuously improve and scale our backend services
• You orchestrate and maintain our AWS infrastructure
• You maintain and develop our in-house CMS
• You work with the feeds of Opta (main data provider)
• You ship updates through our CI/CD pipelines using GitHub Actions

• Define and own the global product strategy and roadmap for AI-powered Health Data Products, spanning clinical, genomic, and operational data domains.
• Lead, develop, and grow a team of product managers, fostering a culture of ownership, collaboration, and continuous improvement.

• Planning and leading the technical implementation of ServiceNow solutions
• System configuration and development of custom features
• Architecting and designing scalable and robust ServiceNow solutions
• Providing advanced technical consulting and support quality assurance activities

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and curation of high-quality golden datasets
• Optimization of judge prompts for automated scoring
• Full-stack product development contribution
• Integration of automated evaluations into CI/CD pipelines

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

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....

• 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

• 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

• 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

• 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

• 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.

• Development of native Swift/iOS applications
• Design of user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests
• Participation in developer testing
• Continuous learning

• 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

• 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