Overview In this senior role, you will design and scale gen AI workflows to power a next-generation coverage analysis platform. You'll architect agentic, multi-step systems and integrate diverse LLM providers for production-grade AI solutions. You'll work across teams to refine prompts, improve performance, and drive the platform's evolution.
This is an opportunity to shape how AI capabilities deliver business value at scale in a global, innovative environment. Compensaciones / Beneficios 100% remote competitive compensation general enterprise environment career growth and technical leadership opportunities exposure to cutting-edge AI projects Responsabilidades Architect Gen AI workflows with modular, composable steps using Lang Graph Build and manage LLM orchestration layers with tools like Lite LLM Create typed data flows and validation with Pydantic Evaluate and integrate multiple LLM providers (Open AI, Claude) for latency, cost,



and quality Implement observability, logging, tracing, and monitoring with Langfuse or Lang Smith Optimize prompts, token usage, and inference efficiency Collaborate with data scientists, AI engineers, and product teams to refine prompts and deploy features Requisitos principales 5+ years of Python development 2+ years building production systems powered by LLMs Hands-on experience with Lang Graph or similar frameworks Deep expertise with Pydantic for data modeling Strong understanding of LLM capabilities, prompts, and evaluation Production experience with async Python (asyncio) Ability to design complex architectures with minimal guidance cross-functional collaboration initiative and ownership strong communication Lang Graph or Lang Chain Lite LLM or multi-model layers Pydantic

📌 Senior genai engineer (Madrid)
🏢 Jobrapido
📍 Madrid