AI Engineer at Deutsche Telekom IT Solutions — Hungary

About The Role

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

Background and required skills

4+ years  in software engineering with strong Python and scripting skills
2+ years  deploying and operating production systems (CI/CD, monitoring, incident response)
2+ years  working with cloud platforms (AWS preferred, but multi-cloud awareness valued)
1-2+ years  with LLMs, agentic AI, RAG systems, or production AI/ML systems
Proven track record : Shipped AI systems to production with full automation and monitoring

Soft Skills & Team Fit

Ownership mentality : Take responsibility for features from design through production operations
Pragmatic problem-solver : Balance perfection with delivery, make informed trade-offs
Clear communicator : Explain technical concepts to both engineers and non-technical stakeholders
Automation advocate : Default to "automate it" rather than "document the manual steps"
Self-directed : Drive projects forward with minimal supervision
Collaborative : Share knowledge, review code, support teammates
Production-minded : Think about monitoring, security, scalability from the start
Adaptable : Comfortable with ambiguity, changing requirements, and learning new technologies
Quality-focused : Write clean code, comprehensive tests, and clear documentation