Engineering állások, munkák it programozás, fejlesztés területen

• Architecture of Cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design of End-to-end web solutions from frontend to backend
• Implementation of RAG pipelines, model serving, and AI agents in production
• Leadership of Cross-functional teams (Full-stack, AI, Data)

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions for computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Support Transmission System Operators (TSOs) And Distribution System Operators (DSOs) In Planning The Power Grid Of The Future
• Work Directly With Clients As Part Of International Consulting Project Teams
• Perform Power System Analyses (Power Flow, Voltage, Short‑Circuit, N‑1, Redispatch)

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Building transformative AI capabilities from the ground up
• Developing user-facing features with conversational and agentic AI technologies
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software

• Proven ability to architect and implement complex digital systems (MCU, DSP, accelerators)
• Strong RTL design skills with production‑quality IP
• Solid understanding of design intent, timing, and power
• Ability to translate system requirements into hardware architectures

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services.You design and lead a multi-layered defense strategy against jailbreaks, prompt...

• Application And Process Ownership Across Lifecycle
• Primary IT Point Of Contact Between Business Users, Product Owners, Manufacturing Sites, And IT Functions
• Ensuring Operational, Compliance, And Performance Expectations In 24/7 Manufacturing Environment

• Participation in regional and cross-functional IT projects
• Third-line support and analysis for Manufacturing Execution Systems (MES and MES4)
• Collaboration with Site SME's and DF teams, IT Support Teams and counterparts in other Regions

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• Leadership and administration of the SME organization
• Understanding business requirements, scope of work and ERP knowledge by the assigned functional area
• Ensuring current business processes are effectively supported by ERP

• Leading end-to-end IT software development and integration projects from planning to delivery
• Coordinating cross-functional teams and external partners for smooth execution
• Managing timelines, budgets, risks, and quality standards throughout the project lifecycle

We are looking for a motivated Working Student (m/f/x) to support a strategic core project by ensuring high-quality data administration, data maintenance, and data analysis. In this role, you will help structure, clean, and manage project data and create a reliable basis for data-driven decisions....

Analyze business requirements and business capabilities and translate them into concrete, cross-domain architecture solutions that take into account our architecture domains: Business, IT, Data and Cyber Security....

• Design Enterprise Data & AI Strategies Using Data & Generative AI To Drive Business Growth
• Translate Complex Business Needs Into Clear AI Solutions
• Advise C-level Leaders On AI Adoption, Regulations, And ROI
• Own The Big Picture For AI Products To Align Business And Technical Teams