AI Engineer (REF5308Q)

Stack

Responsibilities

• ▹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
• ▹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
• ▹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
• ▹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
• ▹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

Requirements

• ▹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

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 experience

Soft skills

What we offer

• ▹Remote working possibility (available only within Hungary due to European taxation regulations)

About the company

Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group with more than 5300 employees, providing a wide portfolio of IT and telecommunications services to large corporations in Germany and other European countries. In 2025 it was named Hungary's most attractive employer according to Randstad's representative survey, received the Best in Educational Cooperation award from HIPA in 2019, and is recognized as one of the most ethical multinational companies. The company continuously develops its sites in Budapest, Debrecen, Pécs and Szeged. This position is within the Tolling Services team of Deutsche Telekom IT Solutions Hungary, which consists of IT professionals specializing in electronic road-charging solutions. Together with partners, the team develops and operates 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).