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)
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