Descripción del trabajo Role - AI Engineer Location: Europe (Madrid, Spain preferred - travel to Spain customer site ideally once a month) Language: Fluency in both English and Spanish required Required Skills and Experience: * 5+ years of experience designing, developing, and deploying high-performance data platforms and agentic solutions. * Proven experience in designing cloud enterprise solutions and supporting customer projects through completion. * Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI). * Advanced Python coding skills, including data structures, algorithms, and software design. * Experience in automating infrastructure provisioning, Dev

Ops/MLOps, and CI/CD. * Google Cloud Professional ML Engineer certification.

Technical Skills * GCP Stack (Mandatory): * AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE) * Gemini Enterprise, Agent Platform (formerly Vertex AI) * Big

Query, Cloud Run, Vertex AI Pipelines * Programming: Advanced Python skills including data structures,



algorithms, and software design patterns. * Agentic AI: Hands-on experience with AI Agents, Agent Development Kit (ADK), multi-agent frameworks, and RAG integration. * MLOps/Dev

Ops: Experience with Kubeflow, Docker, Kubernetes, and Linux environments. * CI/CD: Proficiency in building and managing continuous integration and deployment pipelines. * GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio.

Good to Have * Experience with AlloyDB and enterprise database solutions. * Familiarity with PaLM embeddings and vector search technologies. * Exposure to multi-cloud environments. * Prior experience in healthcare, retail, or financial services domains. * Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer).

Certification * Google Cloud Professional Machine Learning Engineer certification (Good To have) #J-18808-Ljbffr

📌 Artificial Intelligence Engineer (España)
🏢 Quantiphi
📍 España