Artificial Intelligence Engineer
hace 18 horas
Huelva
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, DevOps/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), • BigQuery, 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/DevOps: 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)