Applied AI Engineer & AI Enablement

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{
  "id": "2655614",
  "name": "Applied AI Engineer & AI Enablement",
  "office": "Barcelona - Hybrid",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2026-06-03T09:01:55+00:00",
  "seniority": "experienced",
  "department": "AI Strategy",
  "occupation": "general_and_other_it_software",
  "subcompany": "Aily Labs SLU",
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "Mission",
      "value": "<ul style=\"list-style-type:disc;margin-left:0px;\"><li><span><span><strong>Build and deploy a wide range of AI solutions end-to-end: </strong>forecasting algorithms, classification and regression models, LLM-powered tools, AI agents, or any technique best suited to the problem at hand.</span></span></li><li><span><span><strong>Own the full lifecycle of every solution: </strong>from design and implementation through production deployment, monitoring, and continuous improvement based on user feedback.</span></span></li><li><span><span>Collaborate closely with the AI Platform team to </span><span>leverage </span><span>shared infrastructure, align on technical architecture, and get guidance on the AI stack.</span></span></li><li><span><span>Communicate progress and findings clearly to both technical peers and non-technical stakeholders; present results to chapter leads and business owners.</span></span></li><li><span><span>Produce lightweight documentation and run enablement sessions so business teams can work confidently alongside the solutions you create.</span></span></li><li><span><span><strong>Build from the ground up:</strong> </span></span><span><span>Join us at the beginning of this journey, working closely with the team </span><span>Lead </span><span>to shape the strategy, culture, and technical foundations of our new team.</span></span></li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<strong>Journey to impact: <br></strong><ul><li><span><span><strong>Month 1:</strong> </span></span><span><span>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 </span><span>Principal, and </span><span>deliver a working AI prototype that solves a real daily pain point.</span></span></li><li><span><span><strong>Month 3</strong>: </span></span><span><span>Have at least one solution running in production. Incorporate feedback from real users, </span><span>stabilise </span><span>monitoring, and document the solution. Begin a second </span><span>chapter </span><span>engagement and broaden the range of AI techniques you apply.</span></span></li><li><strong>Month 6:</strong> Become a trusted enabler within the company and the Strategy team. Your solutions are running reliably and reusable components are being picked up by other teams.</li></ul><strong>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. </strong><br><ul><li><span><span><strong>AI & </strong></span><span><strong>technical foundation</strong></span><span>: </span></span><span><span>Strong Python skills and practical experience across the AI/ML spectrum: forecasting, classification, regression, LLMs, and agentic frameworks (</span><span>LangChain</span><span>, </span><span>LlamaIndex</span><span>, </span><span>CrewAI</span><span>, or equivalent). Comfortable owning solutions in production. </span><span>Familiarity with Docker/K8s or </span><span>MLOps </span><span>tooling.</span></span></li><li><span><span><strong>Engineering fundamentals</strong>: </span></span><span><span>Working knowledge of cloud platforms (AWS, GCP, or Azure)</span><span>, REST APIs (</span><span>FastAPI </span><span>or similar), and SQL for data access and integration.</span></span></li><li><span><span><strong>Business & requirements acumen</strong>: </span></span><span><span>Able to sit with a non-technical team, ask the right questions, </span><span>identify </span><span>what </span><span>actually matters</span><span>, and translate messy real-world context into a clear implementation plan.</span></span></li><li><span><span><strong>Communication & collaboration</strong>: </span></span><span><span>Clear and confident communicator with both technical and non-technical audiences. You can explain what a model does</span><span>, </span><span>and what it </span><span>can't </span><span>do</span><span>, </span><span>to someone with no AI background.</span></span></li><li><span><span><strong>Startup mindset & ownership:</strong> </span></span><span><span>Comfortable with ambiguity, proactive, and accountable. </span><span>You </span><span>have the ability to take a vision and bring it to life.</span></span></li></ul>"
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Data Scientist"
}