Ai Engineer

Verisure Sàrl
Elche, Spain
18 days ago
Apply on www.recruit.net
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration DevOps Monitoring of Systems Python (Programming Language) Machine Learning Azure Machine Learning Data Logging
+6 more
Chatbots Large Language Models Kubernetes Infrastructure Automation Frameworks Machine Learning Operations Docker

Job description

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

Requirements

  • 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 the company

Solicitante de Empleo

Iniciar sesión

Publica tu currículum, 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 stateof 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. #J-18808-Ljbffr Solicitar ahora Guardar trabajo

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.recruit.net
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

4:35 min

Learning resources and community engagement for AI engineers

Alfonso Graziano Alfonso Graziano · Coffee With Developers

Videos

See all

Related articles

See all