Experteer Overview La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
In this role you will design and deliver production-grade AI systems on cloud platforms, driving scalable, low-latency agentic workloads. You will work closely with cross-functional teams to ensure robust, observable AI pipelines and customer experiences. Your work will focus on building and optimizing multi-agent and GenAI solutions, with emphasis on reliability and safety. This is a hands-on role at scale, where you influence architectural decisions and contribute to the broader AI community.
Compensaciones / Incentivos
- Build high-performance evaluation pipelines and observability for agentic systems
- Own delivery of Customer User Journeys (CUJs) ensuring production-ready conversational flows
- Architect and optimize complex agentic workloads focusing on reasoning loops, tool selection, and latency
- Implement critical infrastructure: rate limiting, error handling, and regional failover; develop monitoring and alerts during Go-Live windows
- Lead product feedback loops from deployment experiences and contribute to whitepapers, hackathons, and technical blogs
Responsabilidades
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
- xugodme 6 years of software development experience using Python or similar languages
- Experience deploying AI-driven solutions from concept to launch on cloud platforms (e.g., GCP)
- Experience developing AI/GenAI solutions and designing multi-agent workflows or RAG systems
- Experience developing and deploying multilingual NLP models
Requisitos principales
- 15% bonus target
- equity
- benefits
📌 Applied AI Engineer (Madrid)
🏢 Google
📍 Madrid