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# Staff AI Product Software Engineer

- **Company:** ProntoPro
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Business Software, Software Engineering, Large Language Models, Backend, Front End Software Development
- **Published:** July 12, 2026
- **Apply:** https://es.trabajo.org/oferta-5354-42b882a4d39697301d600d38936ff3a2

## About the Role

Job Overview Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición. We're looking for Staff Engineers to lead the shift toward AI-powered Business Management software, not as an add-on, but as a core part of how people work, decide and grow. Ideal candidates: Think about AI as part of how they engineer, not a feature they add. Get energy from shipping things and seeing them work in the real world. Care more about what they build than what their title says. What Are We Looking For? Solid depth in both backend and frontend software engineering. Experience with cloud platforms such as AWS, Azure, or GCP. Shipment of real products to production, not just prototypes. Strong understanding of APIs, cloud platforms, and system design. Recognized as a technical and cultural leader, holding the bar high. Pushback on processes that do not serve the team, from hiring to deployment. Drive adoption of new abstractions and ensure
they are usable. Built real AI-powered systems or workflows, not just tinkered with them. Shipped tangible impact, whether at work or on the side. Lead key technical decisions and create foundational work used across the company. Communicates clearly in English; Spanish is a plus. What You'll Be Doing Define how we build AI at scale and shape design, build, evaluate and run AI-native product experiences. Lead spec-driven development, driving clear expectations before shipping. Build reusable AI foundations to prevent patchwork experiments. Design and evolve modular, reusable AI skills that automate real workflows. Establish robust evaluation frameworks for trustworthiness and reliability. Shape retrieval-augmented generation strategies that balance probabilistic models with deterministic truth. Architect human-in-the-loop and agentic workflows combining LLMs, rules, and oversight. Own systems end-to-end, from problem discovery to long-term maintenance. Stay connected to customers for



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