Senior Product Engineer - Operations Domain

Values Benefits Jobs Offices Jobs > Senior Product Engineer - Operations Domain Senior Product Engineer - Operations Domain Permanent Full time €42,800 - €86,250 Barcelona, CT, Spain Engineering Hello!Do you want to help us redefine how AI powers the future of Business Management software, not as an add-on, but as a core part of how people work, decide and grow?We’re looking for engineers who: Treat AI as central to their craft, not a feature to bolt on later Want to build and ship, not debate and document Care about whether the thing they built actually worked — not what their title says. Ready to be part of the challenge? 🚀At Factorial we're looking for a Product Engineer to help us build and scale our AI- Driven Operations Domain to the next level. As part of this team, which is in charge of providing tools to managers and HR managers in the areas of recruitment, performance, engagement, and trainings, you'll be at the forefront of developing tools and help to improve the way companies take care of their people, their most valuable asset.Ready to be part of the challenge? 🚀About the team 👥Our Engineering team is the engine behind Factorial, crafting the tech that makes HR simple, fast, and reliable for thousands of companies. If you love solving hard problems and want to build something that truly matters, come build it with us.We're a team of 200+ Product Engineers building Business Management solution that actually works for the people using it. Our core stack is Ruby on Rails and React but the interesting work right now is what we're building on top of that: agentic workflows, LLM-integrated features, systems that behave probabilistically rather than deterministically.The Operations domain sits at the core of Factorial. This is where we build the systems that run the day-to-day reality of work for thousands of companies, systems that must be accurate, compliant and reliable.To do this, we provide tools to managers and HR managers in the areas of time management, employee lifecycle, and compensation. But we know there is space for more! That's why we need talented people to go faster.What are we looking for? 🎯 You've shipped AI-powered features and know that evaluating them in production is the hard part, not building them. You think about reliability and user friction before model complexity. You're comfortable reviewing agentic workflows and have opinions about LLM architecture tradeoffs. Not just theoretical ones. You stay current: RAG patterns, agentic frameworks, what's actually working vs. what's hype and you apply that judgment to real product decisions. You treat AI features as hypotheses. Build, deploy, measure, adjust. You own that whole loop, not just the build part. You can break down non-deterministic outputs into something the rest of the team can reason about and act on. You’re comfortable working with Ruby on Rails & React and understand how to integrate AI models into scalable, cloud-native environments. You help teammates who are transitioning from deterministic to probabilistic thinking, not by lecturing, but by working through it together. 4+ years in software engineering, with some track record (or serious curiosity) around shipping AI features. You can explain a complex technical decision in English to someone who doesn't write code clearly, without condescension. What You’ll Be Doing? You'll spend more time designing systems than writing syntax. That means breaking down complex tasks, defining architecture, and writing high-level prompts that instruct multi-agent systems to generate the underlying code. You review and validate what the agents produce. Security, scalability, structure, that responsibility sits with you, not the model. You'll work on orchestrating multiple AI agents running in parallel, keeping them in sync and making sure the output is coherent across the whole feature. There's no established playbook for a lot of this. You'll define your own workflows, experiment,...