We are looking for a MLOps / AIOps / LLMOps / AgentOps Engineer to join a multidisciplinary Data & AI team. The main mission of this role is to design, operate, and continuously evolve our AIOps platform , ensuring that our AI products run in a reliable, scalable, and cost‑efficient way.
This position is strongly focused on platform, infrastructure, automation, observability, and operations rather than on building ML models or AI products themselves.
You will work with modern cloud technologies (mainly AWS , with some Azure exposure) and collaborate closely with Data Scientists, Data Engineers, and Product teams to bring AI solutions into production and keep them running smoothly.
We are open to candidates with strong expertise in at least one core area (e.g., cloud, DevOps, platform engineering, or ML operations) and solid foundational knowledge in the others , with motivation to grow across the full AI operations stack.
Key Responsibilities
- Design, maintain, and evolve the AIOps platform supporting:
- Traditional machine learning models in production




- LLM‑based solutions such as RAG pipelines and AI Agents
- Speech Analytics use cases (ASR, conversation analysis, NLP)
- Build and operate ML and LLM pipelines with a strong focus on:
- Reliability, automation, and observability
- Model and LLM quality, performance, and drift monitoring
- Cloud cost control and optimization
- Implement LLMOps / AgentOps practices , including:
- LLM evaluation and observability
- Prompt management, traceability, and specialized logging
- Agent integration, orchestration, and lifecycle management
- Ensure continuous operation of AI products , including:
- Alerts, dashboards, SLOs / SLIs
- Scalability strategies and basic auto‑remediation mechanisms
- Manage deployments in cloud environments (AWS / Azure) and container platforms (Docker / Kubernetes)
- Collaborate closely with Data Scientists and Data Engineers to productionize robust, scalable AI solutions
- Contribute to internal s

📌 Data Engineer (España)
🏢 Verisure
📍 España