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 standards, automation, and best practi

📌 Data Engineer (España)
🏢 Verisure
📍 España