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.
Were looking for a versatile AI Engineer who combines strong software engineering fundamentals with AI/ML expertise. Youll 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
Qualifications :
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
Advantage:
Advanced Agentic AI
- 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
Domain Knowledge
- Experience in telecommunications or enterprise IT
- Log analysis and operational intelligence systems
- Document processing and information extraction
- Customer-facing AI solution delivery
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
Department and ProjectThis 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 fo...
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.
Were looking for a versatile AI Engineer who combines strong software engineering fundamentals with AI/ML expertise. Youll 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
Qualifications :
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
Advantage:
Advanced Agentic AI
- 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
Domain Knowledge
- Experience in telecommunications or enterprise IT
- Log analysis and operational intelligence systems
- Document processing and information extraction
- Customer-facing AI solution delivery
Additional Information :
* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.
Remote Work :
No
Employment Type :
Full-time
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