T-Mobile
AI Engineer (m/f/d)
Skills
4 days ago
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Important information
Location:
Pécs, Hungary
Work mode:
Onsite
Published on:
16 October 2026
What they need
Job ID: 744000129417414
AI Engineer (m/f/d)
Pécs, Budapest, Szeged, Debrecen
Professional
Regular
Deutsche Telekom TSI Hungary Kft.
Your Task
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).
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.
Responsibilities
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
- 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
Your Profile
We are seeking a versatile AI Engineer who combines strong software engineering fundamentals with AI/ML expertise to build production-ready, agentic AI solutions that are automated, scalable, and vendor-agnostic, with end-to-end ownership from design through deployment and operations.
Must Have Skills
- 4+ years of experience in software engineering with strong Python skills
- 4+ years of experience in software engineering with strong scripting skills
- 2+ years of experience deploying and operating production systems
- Experience with CI/CD pipelines
- Experience with monitoring systems
- Experience with incident response
- 2+ years of experience working with cloud platforms (AWS preferred, but multi-cloud awareness valued)
- 1-2+ years of experience with LLMs (Large Language Models)
- 1-2+ years of experience with agentic AI
- 1-2+ years of experience with RAG (Retrieval-Augmented Generation) systems
- 1-2+ years of experience with production AI/ML systems
- Proven track record of shipping AI systems to production with full automation and monitoring
- Ability to write clean, maintainable Python code and automation scripts (bash/shell)
- Experience building CI/CD pipelines and deployment automation for AI systems
- Experience creating infrastructure as code and configuration management solutions (terraform)
- Experience developing APIs, microservices, and event-driven architectures
- Ability to design and implement agentic AI systems with autonomous reasoning and tool use
- Experience building RAG (Retrieval-Augmented Generation) systems and knowledge bases
- Experience developing multi-agent orchestration and coordination patterns
- Experience integrating LLMs with business logic and external systems
- Ability to own the complete production deployment lifecycle
- Experience implementing monitoring, logging, alerting, and observability solutions
- Ability to create runbooks, deployment guides, and operational documentation
- Experience ensuring security, scalability, and reliability of AI systems
- Ability to design vendor-agnostic, portable AI architectures
- Ability to make pragmatic build-vs-buy decisions for components
- Ability to balance managed services with open-source alternatives
- Ability to architect for multi-cloud compatibility where appropriate
- Ownership mentality with ability to take responsibility for features from design through production operations
- Pragmatic problem-solving skills with ability to balance perfection with delivery and make informed trade-offs
- Clear communication skills with ability to explain technical concepts to both engineers and non-technical stakeholders
- Automation advocate mindset with default approach to automate rather than document manual steps
- Self-directed with ability to drive projects forward with minimal supervision
- Collaborative approach with ability to share knowledge, review code, and support teammates
- Production-minded thinking about monitoring, security, and scalability from the start
- Adaptable and comfortable with ambiguity, changing requirements, and learning new technologies
- Quality-focused with ability to write clean code, comprehensive tests, and clear documentation
Nice to Have Skills
- Experience with agent frameworks (LangGraph, CrewAI, AutoGen, Strands)
- Experience with agent memory systems (short-term, long-term, semantic memory)
- Knowledge of agent evaluation and benchmarking methodologies
- Experience with human-in-the-loop patterns for agent systems
- Knowledge of agent safety, guardrails, and responsible AI practices
- Experience in telecommunications or enterprise IT
- Experience with log analysis and operational intelligence systems
- Experience with document processing and information extraction
- Experience with customer-facing AI solution delivery
About Us
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 received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as 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.
Company Policies
- Remote working possibility is only available within Hungary due to European taxation regulation
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