AI Engineer (REF5308Q) at DeutscheTelekomITSolutions

Department and Project This position is within the Tolling Services team of Deutsche Telekom IT Solutions Hungary. The team consists of IT professionals specializing in electronic road-charging solutions. Together with our partners, we develop and operate intelligent, kilometer-based tolling systems for international customers, covering the entire business process (vehicle registrations, country booking, providing On-Board Units, position data transmission, charge calculation, and fleet billing). Leveraging digital intelligence and advanced technology, our tolling solutions facilitate seamless mobility across Europe. We're looking for a versatile AI Engineer who combines strong software engineering fundamentals with AI/ML expertise. You'll build production-ready, agentic AI solutions that are automated, scalable, and vendor-agnostic. This role emphasizes end-to-end ownership from design through deployment and operations. Main tasks As an AI Engineer: • Software Engineering & Automation • Write clean, maintainable Python code and automation scripts (bash/shell) • Build CI/CD pipelines and deployment automation for AI systems • Create infrastructure as code and configuration management solutions (terraform) • Develop APIs, microservices, and event-driven architectures • AI Solution Development • Design and implement agentic AI systems with autonomous reasoning and tool use • Build RAG (Retrieval-Augmented Generation) systems and knowledge bases • Develop multi-agent orchestration and coordination patterns • Integrate LLMs with business logic and external systems • Production Deployment & Operations • Own the complete production deployment lifecycle • Implement monitoring, logging, alerting, and observability solutions • Create runbooks, deployment guides, and operational documentation • Ensure security, scalability, and reliability of AI systems • Architecture & System Design • Design vendor-agnostic, portable AI architectures • Make pragmatic build-vs-buy decisions for components • Balance managed services with open-source alternatives • Architect for multi-cloud compatibility where appropriate • Collaboration & Knowledge Sharing • Work with operation managers to translate requirements into technical solutions • Create clear documentation for both technical and non-technical audiences • Support demos, POCs, and customer presentations • Share knowledge and best practices with the squad