We’re looking for an

AI Engineer

to join our growing Data & AI team. This role focuses on

building and scaling the platform behind AI products , ensuring they run reliably, efficiently, and at scale.
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.
What You’ll Do

Design, build, and evolve our AI operations platform
Operate and optimize ML and LLM pipelines (RAG, agents, etc.)
Ensure reliability, scalability, and observability of AI systems
Monitor model performance, quality,



and drift
Manage deployments in AWS/Azure with Docker & Kubernetes
Implement LLMOps / AgentOps practices (evaluation, logging, orchestration)
Drive automation, CI/CD, and infrastructure as code
Partner with cross-functional teams to bring AI solutions into production
What We’re Looking For

Experience in MLOps, AIOps, or operating ML systems in production
Strong background in cloud (AWS and/or Azure)
Hands‑on with Docker, Kubernetes, and CI/CD pipelines
Experience with monitoring & observability tools
Knowledge of LLMs, RAG pipelines, or AI agents
Solid Python skills and understanding of ML lifecycle
Nice to have

Experience with tools like SageMaker, Azure ML, MLflow, Kubeflow
Familiarity with LangChain, LlamaIndex or similar frameworks
Exposure to speech analytics or conversational AI
Experience with workflow orchestration tools (Airflow, Argo, etc.)
About Verisure

At Verisure, we do something

📌 AI Engineer (Madrid)
🏢 Verisure
📍 Madrid