Job Title: Senior AI Product Engineer Location: Remote +/- 4 hours GMT for collaboration Type: Full-time, Permanent Remote-first Kota is reimagining insurance and retirement benefits for the modern workforce. Through our two flagship products, Kota Platform, the first fully integrated benefits platform, and Kota Embed, our embedded insurance solution, we are making benefits more accessible, valued, and integral. Today, we power benefits for tens of thousands of employees at Europe's most forward-thinking companies, including Carwow, Tines, Zoe, and Remote.

Founded in 2022, we have raised more than 20M EUR from leading investors like EQT Ventures, Eurazeo, Northzone, and Frontline, along with founders and executives from Workday, Remote, Personio, OpenAI, and more. We work remotely and our team is spread across the world. We are building out a generative AI capability from the ground up, the first of its kind at Kota, and we need a senior engineer who can help us do that with rigour and taste.

You will work directly with the AI Product Lead to design, build, and evaluate agent systems that help Kota's employer admins and employees make better use of their benefits data. This is early-stage, high-ownership work. Design and ship AI agent systems end to end, from early experiments through to production, owning the data access layer, retrieval strategy, and integration with Kota's existing infrastructure including Metabase and internal APIs think adversarially about prompt injection, data boundary violations,



and silent failure modes in a regulated context Pick up slack and expand the role, this is an early pod with room to shape it; 5+ years of software engineering experience, with at least 2 years working directly on LLM or AI agent systems in production Experience building evaluation frameworks, not just using them: golden datasets, regression testing, and retrieval vs. generation failure analysis Background in fintech, payroll, HR tech, or benefits; you understand why data freshness and auditability matter in regulated contexts Experience with AWS, Azure, or the broader Microsoft ecosystem Experience generating synthetic evaluation data to bootstrap eval coverage before real usage data is available Experience working in early-stage or scale-up environments where the architecture is still forming You have built an AI system that failed in production and have a clear, unsentimental account of what went wrong, what you put in place to catch it earlier, and what you would do differently.

You make deliberate decisions about what data an agent needs and when, rather than defaulting to retrieve-everything or hardcode-everything. We care deeply about our why and it will not jeopardise our how. we look at the details and go the extra mile to delight customers. Ask why, do the work, get the data, solve the problem, be an owner.

Health

Insurance via Kota WFH stipend to support your home office We are an equal-opportunity employer and value diversity at our company.

📌 Ingeniero Proyectista (Madrid)
🏢 Kota
📍 Madrid