Artificial Intelligence Engineer

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)

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)