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

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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. xkdbapo
- Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer).

Certification

- Google Cloud Professional Machine Learning Engineer certification (Good To have)

📌 Artificial Intelligence Engineer (Cequeliños)
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📍 Cequeliños