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• Talking with project managers to discuss the business objectives and requirements of the features / tasks
• Planning and estimating the time required to complete the work
• Thinking creatively to produce new ideas and concepts and developing interactive design

• Beszélgetés a projektvezetőkkel a funkciók / feladatok üzleti céljainak és követelményeinek megbeszélésére.
• A munka elvégzéséhez szükséges idő megtervezése és becslése.
• Kreatív gondolkodás új ötletek és koncepciók előállítása, valamint interaktív design fejlesztése érdekében.

• Collaboration with a team of experienced developers to create high-quality software solutions
• Engagement in the entire application lifecycle including coding, debugging, and design
• Writing clean, scalable, and efficient code based on specifications

Agentic AI development: Design and implement autonomous and semi-autonomous AI workflows, including planning, task execution, tool integration, context management, and fault recovery....

• Development and operation of the product in an engineering team
• Production deployments
• Cloud automation
• Monitoring and alerting
• Incident management and post-incident analysis
• Identification and troubleshooting of platform issues

• Design and develop the next generation of the Proactive DLP engine in Rust
• Migrate existing C++, C# and Python components to Rust and maintain them until replacement
• Build and orchestrate AI agents that generate, test and refactor code and design validation loops

• CI/CD pipeline stability ownership across MFT and MFT Enterprise
• Kubernetes-based on-premise deployment environment building and baselining for MFT Enterprise
• Single-resource dependency reduction on infrastructure through documentation, cross-training, and automation

• Leading AI-first engineering efforts
• Hands-on coding and code review
• Owning day-to-day delivery of product roadmap
• Building and leading a high-performance engineering team
• Holding a security-first quality bar
• Raising engineering velocity through process improvements

• Ownership of features from concept to delivery
• Writing precise specifications
• Working closely with teammates and stakeholders to refine requirements
• Driving work through to production with full accountability
• Working with AI as a first-class collaborator

• Ownership of supervisor approval workflows
• Development and maintenance of audit logging and compliance capabilities
• Leveraging modern AI-assisted development tools to improve engineering workflows
• Participation in code reviews with a security-first lens

• Leading AI-first engineering efforts
• Remaining hands-on in codebase
• Owning end-to-end delivery of product roadmap
• Setting technical direction and architecture
• Building and leading high-performance engineering team
• Driving performance-based management
• Holding security-first quality bar