Overview In this role you will design and deploy scalable, role-based AI agents for Horizon, a cloud platform for renewable energy asset monitoring and decision support. You work closely with domain experts and platform engineers to bring production-grade AI agents from research into operations, enabling asset managers, traders and analysts to make data-driven decisions at scale. You will build evaluation and observability frameworks, ensuring safe, reliable, and explainable agent behavior.

This is a hands-on, product-focused opportunity to shape intelligent workflows in renewable energy. Compensaciones / Beneficios Medical Scheme Commuting Allowance Life Insurance Pension Plan Kindergarten Allowance 40 hours per week with a versátil schedule Responsabilidades Design scalable architecture for role-based AI agents covering asset management, O&M;, predictive maintenance, trading, and analytics workflows Define agent responsibilities, interaction patterns, and hand-offs between specialised agents Integrate agents with diverse Horizon data sources (time-series, alarms, events, metadata, forecasts, reports, logbooks, documentation) Build evaluation datasets and frameworks for quality, safety, latency,



and reliability Implement observability and traceability for prompts, context, tool calls, decisions, failures, and feedback Deploy and operate AI services in production with software and platform engineers Collaborate with renewable energy domain experts to ensure outputs are technically meaningful and evidence-based Stay informed on LLMs, agent orchestration, and multimodal IA developments for pragmatic production use Requisitos principales Proven experience building AI agents, agentic workflows, or AI assistants in production Experience with Retrieval-Augmented Generation (RAG), embeddings, vector search, and prompt engineering Strong Python software engineering skills for production-grade applications Experience integrating AI with APIs, databases, and enterprise systems Familiarity with Git, CI/CD, Docker, and cloud-native development practices Strong communication skills in English curious and proactive collaborative in fast-moving environments ownership of projects and ability to communicate complex AI concepts to diverse stakeholders Python RAG and embeddings vector search

📌 AI Engineer - Agentic Systems (Barcelona)
🏢 Dnv Gl
📍 Barcelona