Mission

Build and deploy a wide range of AI solutions end-to-end: forecasting algorithms, classification and regression models, LLM-powered tools, AI agents, or any technique best suited to the problem at hand.

Own the full lifecycle of every solution: from design and implementation through production deployment, monitoring, and continuous improvement based on user feedback.

Collaborate closely with the AI Platform team to leverage shared infrastructure, align on technical architecture, and get guidance on the AI stack.

Communicate progress and findings clearly to both technical peers and non-technical stakeholders; present results to chapter leads and business owners.

Produce lightweight documentation and run enablement sessions so business teams can work confidently alongside the solutions you create.

Build from the ground up: Join us at the beginning of this journey, working closely with the team Lead to shape the strategy, culture, and technical foundations of our new team.

You will be the bridge between business teams and AI solutions.



That means sitting with non-technical stakeholders, asking the right questions, mapping their workflows, and translating messy real-world problems into clear requirements before a single line of code is written. You're as much a translator and trusted partner to the business as you are an engineer.

Your profile
Journey to impact:

Month 1: Get up to speed with 1–2 business units. Understand their data, workflows, and business context. Pick up the first strategic brief from the AI Strategist Principal, and deliver a working AI prototype that solves a real daily pain point.

Month 3 : Have at least one solution running in production. Incorporate feedback from real users, stabilise monitoring, and document the solution. Begin a second chapter engagement and broaden the range of AI techniques you apply.

Month 6: Become a trusted enabler within the company and the Strategy team. Your solutions are running reliably and reusabl

📌 AI Engineer (Madrid)
🏢 Aily Labs SLU
📍 Madrid