AI Engineer (w/m/d)
Vossloh AG
About the role
About Vossloh
Vossloh is a globally active railway technology company that has stood for quality, safety, customer orientation, and innovation for over 140 years. With our comprehensive range of products and services related to the rail track, we are among the world market leaders in this sector. Vossloh has a presence in almost 30 countries with over 40 production sites and offers customers integrated solutions from a single source worldwide. In doing so, we make an important contribution to the safe and sustainable mobility of people and the transport of goods. Following our guiding principle of "enabling green mobility," sustainability is a central building block of our corporate strategy and firmly anchored in our value system. Our goal is to be CO2 neutral by 2030.
Your Role
For the development and implementation of productive GenAI applications to support central business processes, we are looking for an AI Engineer (m/f/d) at our Düsseldorf or Werdohl location.
Location: Düsseldorf or Werdohl Employment: Full-time Job ID: JR102035
Your Responsibilities
- Design, development & operation of productive GenAI solutions (LLM apps, agents, RAG)
- Architecture & orchestration of LLM systems including memory, tool-calling, agent topologies, and RAG patterns
- Implementation with LangChain & integration of external APIs/services
- Evaluation & observability: metrics, offline/online tests, A/B tests, monitoring (e.g., Langfuse)
- LLMOps: versioning, experiment tracking, CI/CD, guardrails, secrets, cost & latency tuning
- Integration into platforms & processes, ensuring security, compliance, stability, performance & cost optimization until go-live
- Definition of standards & best practices for GenAI, prompting, agents, RAG
Your Profile
- Several years of experience with productive GenAI solutions, LLM/agent frameworks (especially LangChain)
- Very good Python skills & experience in backend development (APIs, Async, Caching) as well as vector databases/embeddings
- Cloud & infrastructure knowledge: Azure (OpenAI, AKS, Functions, Key Vault), containerization (Docker/Kubernetes), automation
- Practical experience with model selection, prompting vs. fine-tuning, guardrails/safety
- Analytical, structured way of working with ownership over the entire GenAI lifecycle
- Interdisciplinary collaboration & stakeholder management
- Good communication skills in English & German, convincing communication of technical concepts
Your Benefits
- Versatile and responsible position in a global and innovative company in a sustainable industry
- Hybrid working and modern work environment
- Benefits such as company pension scheme, supplementary health insurance, business bike, and employee stock program
- Structured onboarding phase, a variety of further training opportunities
- Cooperation with the pme Familienservice
- Certified with the "berufundfamilie" seal of approval
- Top Employer Germany 2026 certified
Requirements
- Mehrjährige Erfahrung mit produktiven GenAI-Lösungen, LLM-/Agenten-Frameworks (v.a. LangChain)
- Sehr gute Python-Kenntnisse & Erfahrung in Backend-Entwicklung (APIs, Async, Caching) sowie Vektordatenbanken/Embeddings
- Cloud- & Infrastrukturkenntnisse: Azure (OpenAI, AKS, Functions, Key Vault), Containerisierung (Docker/Kubernetes), Automatisierung
- Praxis mit Modellwahl, Prompting vs. Fine-Tuning, Guardrails/Safety
- Analytische, strukturierte Arbeitsweise mit Ownership über den gesamten GenAI-Lifecycle
- Interdisziplinäre Zusammenarbeit & Stakeholder-Management
- Gute Kommunikationsfähigkeiten in Englisch & Deutsch, überzeugende Vermittlung technischer Konzepte
Responsibilities
- Design, Entwicklung & Betrieb produktiver GenAI-Lösungen (LLM-Apps, Agenten, RAG)
- Architektur & Orchestrierung von LLM-Systemen inkl. Memory, Tool-Calling, Agent-Topologien und RAG-Patterns
- Umsetzung mit LangChain & Integration externer APIs/Services
- Evaluation & Observability: Metriken, Offline/Online-Tests, AB-Tests, Monitoring (z. B. Langfuse)
- LLMOps: Versionierung, Experiment-Tracking, CI/CD, Guardrails, Secrets, Kosten- & Latenztuning
- Integration in Plattformen & Prozesse, Sicherstellung von Security, Compliance, Stabilität, Performance & Kostenoptimierung bis Go-Live
- Definition von Standards & Best Practices für GenAI, Prompting, Agenten, RAG
Benefits
Skills
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