AI Engineer
Verisure · Alicante ·
- Category
- AI engineering
- Company size
- 1000+
Verisure · Alicante ·
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The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
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 amazing every day. By protecting what matters most, we change lives for the better. We are the leading provider of professionally monitored security services with 24/7 response in Europe and Latin America. More than 6 million families and small businesses in 18 countries rely on our innovative technology to protect what matters most to them.
We integrate product development, design, sales, installation services and a 24/7 professional monitoring solution. We have a track record of continuous growth, as well as exciting plans to continue expanding, transforming, and leading the market into the future.
Our success depends on our people, and we invest in them every day. Working with Verisure is being part of an industry-leading, world-class company that has a strong entrepreneurial spirit.
Strong fit with our Company DNA
Passionate in Everything We Do: Our people have a sense of energy that is unmistakable, one that drives us to delight our customers and focus on creating impact quickly.
Committed to Making a Difference: When we say we will do something; we deliver with excellence. We are accountable, focused and operate with discipline.
Always Innovating: We believe that Innovation can be big or small; it’s a continuous state of mind that inspires us to think differently and always make things better.
Winning as a Team: Our people know that by leveraging one another’s strengths, investing in and developing our team’s capability and by collaborating well, we will win.
With Trust & Responsibility: Operating with integrity is core to our success. We are humble, honest and value deep mastery and expertise. We do the right thing, always.
Diversity, inclusion, equity, and belonging at Verisure
At Verisure, we are committed to fostering a diverse and inclusive workplace, recognising that diversity of thought and background only makes our teams stronger and more innovative. We reject all forms of discrimination and bias, and we believe in access to opportunities for everyone, regardless of gender, age, disability status, race, sexual orientation, or any other status.
Apply today!
We are continuously reviewing candidates, so we encourage you to apply as soon as you can. If you have questions regarding this position, please reach out to our Group TA Specialist, Elvira Torres at [email protected]
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