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# AI Engineer

- **Company:** Ai-driven
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Large Language Models, Backend, Front End Software Development, Restful APIs
- **Published:** August 12, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-ff964ca930377362a56bf30bd3c2825e

## About the Role

measured, guard-railed production feature This role is to based in our hubs - Berlin, Boston, Durham, Munich, London or Valencia. What Sets You Apart You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challenges and have a talent for making them simple for others. Your curiosity drives you to constantly grow and contribute to an environment of trust and teamwork. Great ideas come from many paths, and your unique perspective matters more than checking every box. What matters most is the mindset you bring to the work. You bring: - Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary - 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos) - Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed

## Description

but to build your own. Your Impact You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. You will: - Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure - Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs - Render model output into live, streamed, accessible UI via generative-UI protocols - Ground models in real data: retrieval, embeddings, and feedback loops that actually close - Treat evals as a first-class system - provable improvement, not vibes - Take a capability from prompt-in-a-notebook to a


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