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• End-to-end AI solution ownership
• Partnership with product managers and business stakeholders for problem translation
• Independent planning and execution of research and experimentation
• Design of AI solutions with system-level perspective

• 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

• Support aiSim project managers in 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

• Daily design tasks for a variety of projects
• Delivering quality work to clients worldwide
• Taking charge of own projects and reporting to the Lead Designer
• Turning stakeholder goals and user research into wireframes
• Simplifying complex user flows into intuitive interfaces

• Crafting innovative solutions through requirements analysis
• Constructing workflow charts
• Drafting precise specifications
• Transforming business requests into actionable development plans
• Creating user stories
• Defining robust acceptance criteria
• Guiding projects from concept to seamless implementation

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• Development and implementation of complex generative AI applications from discovery to deployment
• Establishment of best practices framework for deploying cloud architectures supporting AI agents
• Creation of RAG/LLM evaluation pipelines, embedding strategies, and optimization of prompts/runtime

• Building and maintaining production-grade AI infrastructure using Infrastructure as Code, monitoring, logging, and deployment automation
• Optimising performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Build and maintain production-grade AI infrastructure using Infrastructure as Code
• Optimise the performance and cost efficiency of LLM workloads
• Develop and maintain CI/CD pipelines tailored for AI workloads
• Support agent-tool integration patterns using MCP and production infrastructure

• Fejlesztés és megvalósítás komplex generatív AI alkalmazásokban a felfedezéstől a bevezetésig
• Legjobb gyakorlatok keretrendszerének kialakítása AI ügynököket támogató felhőarchitektúrákhoz költség, teljesítmény és biztonság szempontjából LLM munkaterhelésekhez és vektoros kereséshez

• Building AI-assisted development workflows
• Testing AI-assisted development workflows
• Maintaining AI-assisted development workflows
• Implementing workflow utilities
• Implementing prompt packs
• Implementing repository analysis scripts
• Implementing documentation helpers
• Implementing integration adapters

• Analysis of business processes and collaboration with stakeholders to identify, assess, and prioritize automation opportunities
• Design, development, testing, and deployment of scalable end-to-end automation solutions using UiPath following industry best practices and enterprise standards

• Establishment and operation of build, release, and observability backbone for Meridian technical due diligence
• Design and operation of CI/CD pipelines for repository intake, build execution, image creation, artefact promotion, environment deployment, and evidence generation

• Development of the test automation framework
• Development of test cases/steps
• Development of test tools
• Integration of testing tools into the automation framework

• Autóipari elektronikai eszközök mechanikai tervezése önvezető rendszerekhez kapcsolódó berendezésekhez
• Szerver- és hálózati eszközök mechanikai tervezése
• Készülékházak kialakítása
• Rögzítések kialakítása
• Tartószerkezetek kialakítása
• Hűtési megoldások kialakítása
• Belső alkatrészelrendezések kialakítása