AI Engineer
Builds production-ready, agentic AI solutions end to end — design through deployment and operations — for Deutsche Telekom IT Solutions' Tolling Services team (electronic road-charging systems). Core stack: Python, AWS, CI/CD, monitoring, LLMs, RAG and agent frameworks.
- Compensation
- Not disclosed
- Location
- Budapest, Hungary
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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, multi-cloud awareness valued)
- 1-2+ years with LLMs, agentic AI, RAG systems, or production AI/ML systems
- Proven track record shipping AI systems to production with full automation and monitoring
- Ownership mentality: take responsibility for features from design through production operations
- Clear communicator with engineers and non-technical stakeholders
- Self-directed, able to drive projects with minimal supervision
- Quality-focused: clean code, comprehensive tests, clear documentation
Nice to have
- Experience with agent frameworks (LangGraph, CrewAI, AutoGen, Strands)
- Agent memory systems (short-term, long-term, semantic memory)
- Agent evaluation and benchmarking methodologies
- Human-in-the-loop patterns for agent systems
- Agent safety, guardrails, and responsible AI practices
- Experience in telecommunications or enterprise IT
- Log analysis and operational intelligence systems
- Document processing and information extraction
- Customer-facing AI solution delivery
Full description
Company 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.
Job DescriptionDepartment 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.
- Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
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