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AI Engineer

Aily Labs · Madrid, Spain

External listingfull-time2 months ago

About The Role

Join our team as an Applied AI Engineer & AI Enablement. In this role, you will build and deploy a wide range of AI solutions, own the full lifecycle of every solution, and collaborate closely with the AI Platform team. You will communicate progress and findings clearly to both technical peers and non-technical stakeholders, produce lightweight documentation, and run enablement sessions. You will have the opportunity to shape the strategy, culture, and technical foundations of our new team.

  • Construire et déployer une large gamme de solutions d'IA de bout en bout, y compris des algorithmes de prévision, des modèles de classification et de régression, des outils alimentés par des LLM.
  • Posséder l'ensemble du cycle de vie de chaque solution, de la conception et de la mise en œuvre à la mise en production, à la surveillance et à l'amélioration continue.
  • Collaborer étroitement avec l'équipe de la plateforme d'IA pour tirer parti de l'infrastructure partagée, s'aligner sur l'architecture technique et obtenir des conseils sur la pile technologique de l'IA.
  • AI & technical foundation: Strong Python skills and practical experience across the AI/ML spectrum: forecasting, classification, regression, LLMs, and agentic frameworks (LangChain, LlamaIndex, CrewAI, or equivalent). Comfortable owning solutions in production. Familiarity with Docker/K8s or MLOps tooling
  • We're looking for someone at the intersection of AI engineering and business understanding, who can turn a department's problems into working AI solutions
  • Communication & collaboration: Clear and confident communicator with both technical and non-technical audiences. You can explain what a model does, and what it can't do, to someone with no AI background
  • Engineering fundamentals: Working knowledge of cloud platforms (AWS, GCP, or Azure), REST APIs (FastAPI or similar), and SQL for data access and integration
  • Business & requirements acumen: Able to sit with a non-technical team, ask the right questions, identify what actually matters, and translate messy real-world context into a clear implementation plan
  • Startup mindset & ownership: Comfortable with ambiguity, proactive, and accountable. You have the ability to take a vision and bring it to life

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