Deutsche Telekom IT Solutions
Technology
AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI Engineer at Deutsche Telekom IT Solutions. Skills: AI Engineering, Software Engineering, Agentic AI, Production Deployment. Write Python code. Write automation scripts”
Industry & Context.
Pragmatic problem-solver
What They're Looking For.
Must Have
4+ years software engineering, 2+ years deploying production systems, 2+ years working with cloud platforms, 1-2+ years with LLMs, Shipped AI systems to production
Nice to Have
AWS preferred, Multi-cloud awareness valued, Experience in telecommunications, Experience in enterprise IT, Experience with agent frameworks, Agent memory systems experience, Agent evaluation methodologies experience, Human-in-the-loop patterns experience, Agent safety experience, Log analysis experience, Operational intelligence systems experience, Document processing experience, Information extraction experience, Customer-facing AI solution delivery experience
What You'll Do.
Write automation scripts
Build CI/CD pipelines
Build deployment automation
Create infrastructure as code
Create configuration management
Develop microservices
Develop event-driven architectures
Design agentic AI systems
Implement agentic AI systems
Build knowledge bases
Develop multi-agent orchestration
Develop coordination patterns
Own production deployment lifecycle
Implement monitoring solutions
Implement logging solutions
Implement alerting solutions
Implement observability solutions
Create deployment guides
Create operational documentation
Ensure AI system security
Ensure AI system scalability
Ensure AI system reliability
Design vendor-agnostic architectures
Design portable AI architectures
Make build vs buy decisions
Balance managed services
Balance open-source alternatives
Architect for multi-cloud
Work with operation managers
Translate requirements
Create technical documentation
Create non-technical documentation
Support customer presentations
How You'll Work.
Team & Collaboration
Squad knowledge sharing; Work with operation managers; Support teammates
Communication Scope
Explain technical concepts; Customer presentations
Full Job Description
As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. 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 impl
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