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• 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

• Design new features in flagship SaaS product
• Code new features in flagship SaaS product
• Review new features in flagship SaaS product
• Test new features in flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of future product state

• Design and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

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

• Meglévő Android alkalmazás accessibility hibáinak javítása
• Az alkalmazás további accessibility problémáinak önálló felkutatása és javítása

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Az IT termék vagy alkalmazás backlogjának kezelése és priorizálása
• Üzleti és technikai követelmények összegyűjtése és pontosítása
• User story-k, functional specificationök és acceptance criteria-k készítése
• Folyamatos együttműködés fejlesztői és tesztelői csapatokkal

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Technical consultation and client education
• Creation of feasible delivery plans for on-time, on-budget, and high-quality project implementations
• Design and implementation of high-performing, maintainable, and secure software aligned with industry best practices and company capabilities

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• 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.

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

• Segítségnyújtás az Azure infrastruktúra biztosításában informatikai projektekhez (adatbázisok, hálózatok, alkalmazásszolgáltatások, tárolók, virtuális gépek)
• Terraform modulok létrehozása és frissítése

Design and implementation of core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer...

• Folyamatos fejlesztési lehetőségek azonosítása és megvalósítása a termelésben és a kapcsolódó területeken
• Lean/CI projektek és Kaizen események támogatása, kisebb fejlesztési projektek önálló vezetése