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• 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

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Aktív részvétel az integrációs projektekben, beleértve a tervezést, implementációt és a babysitting-et
• Külső szoftver beszállítókkal való kapcsolattartás
• Részvétel a rendszerintegrációs feladatok, problémák megoldásában
• Integrációs csapat képviselete a Bank projektjeiben

Contribute to the requirement definition for the assigned physical security product area, develop functional specifications, and create project plans and software release schedules to support the certification process...

• ORACLE/PostgreSQL/MariaDB adatbázisok telepítése, konfigurálása, frissítése (legalább egy terület üzemeltetési szintű ismerete)
• Adatbázis kiegészítők telepítése, kezelése,
• Több lábas clusterek építése, üzemeltetése (PATRONI HA / RAC – DATAGUARD / GALERA),

• Üzleti alkalmazások fejlesztése C# és .NET technológiák használatával
• Új funkciók tervezése és implementálása, meglévő rendszerek karbantartása és továbbfejlesztése
• EGYÜTTMŰKÖDÉS A MÉRNÖKIRODÁVAL, a szolgáltató partnerekkel, projektmenedzserekkel és más fejlesztőkkel

• 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

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• 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

• Support aiSim project managers in the day-to-day coordination of software development projects
• Work closely with software developers and cross-functional teams
• Record and track meeting minutes in Confluence
• Create and manage Jira tickets
• Communicate with internal and external stakeholders

• 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

• Preparation for containerization and cloud deployment
• Increasing scalability of systems
• Re-evaluation of systems design and development of new features
• Support of development teams (Backend and Frontend)
• Enhancement of CI/CD pipelines
• Improvement of monitoring and observability

• Learn and use groundbreaking technologies.
• Engineers will apply advanced troubleshooting techniques to provide unique solutions for our customers and lead customer interactions by thoughtfully working with them to dive deep into the issue and get the root cause.

• Building and leading high-performing engineering teams
• Driving excellence in recruitment, onboarding, coaching and mentoring
• Career development
• Team processes and team organisation
• Fostering an engineering culture of ownership, collaboration and passion for delivering quality products

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...