Applied AI Engineer

Google; Madrid; Presencial; EUR 90.000 - 92.000; Jornada completa

Descripción de la vacante

Google Cloud in Madrid is hiring a senior AI/GenAI engineer to lead development of advanced agentic systems that scale across enterprise workloads on GCP.

The role emphasizes multilingual NLP deployment, robust tooling, performance observability, and production readiness, with a compensation package including equity and a 15% bonus target. This is a dynamic, high‑impact position with global collaboration and cutting‑edge AI tech.

Formación

• Bachelor’s degree in Engineering, CS or related field, or equivalent practical experience.
• 6 years of software development experience in Python or similar languages.
• Experience deploying production AI solutions on cloud platforms (GCP).
• Experience building AI/GenAI solutions with multi-agent workflows or RAG systems.
• Experience with multilingual NLP model development and deployment.

Responsabilidades

• Build high‑quality eval pipelines and observability for agentic systems.
• Own CUJs ensuring conversational flows are production-ready and aligned with priorities.
• Architect and optimize agent workloads focusing on reasoning loops, tool selection, and latency.
• Implement infrastructure including rate limiting, error handling, and regional failover with monitoring.
• Contribute to product feedback, whitepapers, and technical blogs.

Conocimientos

AI/GenAI development

Cloud AI systems

Multilingual NLP

Production pipelines

Educación

Bachelor's degree in Engineering, Computer Science or related field

6 years of software development with Python or similar

Herramientas

Google Cloud Platform

Descripción del empleo

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Madrid, Spain.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience with software development using Python or similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
• Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.
• Experience developing and deploying multilingual natural language processing models.

Preferred qualifications

• Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
• Experience in debugging Agent logic (ReAct loops, Chain of Thought) and optimizing tool selection.
• Experience with troubleshooting live, high‑traffic systems during critical windows.
• Ability to trace conversation IDs across microservices to identify and resolve failures in real‑time.

About The Job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

Spain: €90000 - €92000 (EUR) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Build high‑performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
• Own the delivery of the Customer User Journeys (CUJs), ensuring that conversational flows are not just functional, but optimized and production ready for [top customer / industry priorities].
• Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production‑grade security and networking.
• Implement critical infrastructure including rate limiting, error handling, and regional failover strategies; develop monitor systems and alerting dashboards during "Go‑Live" windows to ensure stability as traffic scales.
• Drive product feedback loops based on deployment experiences and contribute to the broader community through whitepapers, hackathons, and technical blogs.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .