AI Engineer (REF5308Q)

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:

1. 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
2. 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
3. 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
4. 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
5. 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