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• Komplex LLM-, RAG- és agentikus AI-megoldások célarchitektúrájának megtervezése, szakmai irányítása és produkciós bevezetése.
• Coding agent skillek, MCP-szerverek, agent harness és runtime komponensek, routing-, memory-, tool- és evaluációs megoldások kialakítása.

• Komplex pilótanélküli rendszerek fejlesztése, konfigurálása, továbbfejlesztése és rendszerintegrációja
• Elektronikai, híradástechnikai modulok integrálása, tesztprotokollok előkészítése és dokumentálása
• Részvétel szenzorfúziós, autonóm navigációs és vezérlési algoritmusok fejlesztésében, tesztelésében

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Driving architectural decisions
• Building scalable solutions using Agile methodologies

• Joining experienced engineering teams and contributing to existing projects while exploring and prototyping ideas for the future
• Gaining hands-on experience across the software development lifecycle with support from a mentor and the wider team

• Analyzing business processes and collaborating with stakeholders to identify, assess, and prioritize automation opportunities
• Designing, developing, testing, and deploying scalable end-to-end automation solutions using UiPath, following industry best practices and enterprise standards

Planning, implementation, development and testing of HW/ SW components for the company backbone and data center networks (Layer 2&3 networks interconnects company datacenters & cloud instances inside company as well as external partner/client networks)...

• Taking part in the BAU development tasks
• Designing, implementing, and delivering high-quality software solutions that conform to architectural standards
• Optimizing and refactoring existing code for improved reliability and performance
• Understanding and reworking/improving the existing codebase

• Leading a Core Modelling team building the foundational CAD engine that defines the Shapr3D user experience across all platforms
• Regularly reviewing and challenging engineering design documents fostering an environment of collaborative problem-solving

Architecting and implementing scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents)...