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 an

📌 AI Engineer (Madrid)
🏢 Aily Labs
📍 Madrid