Senior Expert AI Engineer (m/f/d)
Employer · x1F
Software developerSystems analyst
System administratorFull-timeBudapest
Between a good AI prototype and a reliable production system, there is a lot of engineering. That is exactly the gap you will close at x1F. As a Senior Expert AI Engineer in our Corporate IT team, you will make sure that AI applications can be operated productively across our internal IT environment. You will build the technical foundation for our internal AI platform, integrate language models and enterprise data, and create the conditions for reliable operations.
Tasks
- AI Platform: Developing our internal AI platform and making it ready for productive applications, including architecture, monitoring, cost control, and operating/access model.
- Production Systems: Containerized applications need to run reliably in production. You take responsibility for their orchestration and resilience.
- API Integration: Language models are integrated through production APIs, while enterprise data is connected through RAG.
- Cost & Quality: Keeping cost and quality in balance by setting up evaluation, tracing and guardrails as part of the production environment.
- Architecture: Making architecture decisions when technical and business requirements compete, making trade-offs transparent.
- Data & Routing: Data ownership, model routing, and considering resilience in the technical design.
- Agentic Systems: Tool calls, approvals, audit trails, idempotency and reliable restart mechanisms for agentic systems in production.
- Software Engineering: Sound design, automation and testability to turn scripts into reliable practice.
- From Sandbox to Production: Building foundations and taking initial internal use cases through to ongoing operations.
Conditions & benefits
Community & team cultureExperience events with us that connect and are fun -- from relaxed get-togethers to structured team-building sessions.Flexible working & balanceWork where and how it suits you: At home, in the office, or on the road at a workation with flexible working hours.Health & well-beingA variety of benefits designed to support you -- both personally and professionally.Professional developmentAccess to LinkedIn Learning, enabling you to learn flexibly and continuously, in addition to targeted development programs.
Requirements
- Containers & Orchestration: strong experience with Kubernetes/AKS, Docker Compose and Azure Container Apps
- Infrastructure as Code: experience with Terraform, Bicep or Ansible
- Vector Databases: experience with vector databases and embedding pipelines
- Software Engineering: solid skills in Python, APIs, Git and automated testing
- Microsoft: experience with Azure, Entra ID and M365 is a plus
- Model Serving: experience with model serving or inference operations, e.g. vLLM, is a plus
- Enterprise AI: experience with enterprise AI platforms and their integration with enterprise data is a plus
- FSI Regulation: basic understanding of DORA, BAIT/VAIT and outsourcing requirements is a plus
- Production Experience: experience in platform engineering, DevOps or data engineering is a plus
- Languages: German B2, English B2-C1
- Willingness to Travel: occasional travel within the DACH region