Php hell ci javascript jquery állások VI. kerületben főiskolai végzettséggel

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Design and develop custom SAPUI5 applications and Fiori Elements using the latest OData V4 standards
• Extend and enhance standard Fiori apps using side-by-side extensibility on SAP BTP to keep the S/4HANA core stable

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Create robust and scaleable services in a performance focused environment
• Implement complex features based on specification
• Maintain and transform already existing code and database
• Improve system performance, proactively indetify technical debt
• Actively participate in the desing of the application

• szakértőként támogatod a Risk és Sales területhez kapcsolódó alkalmazások működését és fejlesztését,
• részt veszel az üzleti igények feltárásában, követelményeinek elemzésében és a legmegfelelőbb megoldások megtervezésében,

nagyvállalati, saját fejlesztésű üzleti folyamattámogató alkalmazásunkra vonatkozó üzleti igények részletes megismerése, egyeztetése az üzleti felelősökkel...

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• BIM és CAD szoftverekben tervezést segítő eszközök fejlesztése C# és/vagy C++ nyelveken
• Standalone alkalmazások készítése
• C# esetén az Autodesk termékeivel (Revit, AutoCad, NavisWorks) való együttműködés
• C++ esetén Graphisoft Archicad-del való együttműködés

• Design, implement, and operate IT infrastructure across on-premise and cloud environments (Azure)
• Ensure high availability, performance, and reliability of systems through proactive monitoring and optimization

• Identification of highest-leverage AI opportunities in the developer workflow
• Building and maintaining the internal agentic AI platform engineers rely on daily
• Ownership of foundational architecture and standards for agent and model release evaluation and deployment

• Design end-to-end cloud solutions supporting digital products and business initiatives.
• Translate business requirements into scalable, secure, and cost-efficient architectures.
• Drive cloud adoption, modernization, and architecture best practices across the Digital Factory.

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

Support the administration for the entire operational HR work along the employee life cycle for the United Kingdom and the BeNeLux countries...

Support the administration for the entire operational HR work along the employee life cycle for the United Kingdom and the BeNeLux countries...

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• 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 AI solutions for intelligent document understanding

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását