$ cat jobs/senior-backend-engineer-ai-agents-sequra-1e947ab90846.json
Senior Backend Engineer – AI Agents
About seQura seQura provides innovative, flexible, and easy-to-use payment technologies that help merchants acquire, convert, and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors—Retail, Education, Eyewear, Repairs, and Travel—to address unique pain points and deliver superior results. We empower smart shopping for consumers who seek more value, convenience, and flexibility, offering new payment experiences that let them save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding across Southern Europe and Latin America, growing above 50% CAGR and approaching €100M in Annual Recurring Revenue. Over 5,000 businesses, nearly 2 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.7/5. About the role 🤓 We are building seQura’s Smart Agent platform , an intelligent agent system that guides shoppers before, during, and after their purchases. The platform relies on LLMs for human-like interaction , combined with retrieval-augmented generation (RAG) over SeQura’s data , crawling, and structured product/taxonomy information. This role does not require AI research, data science, or mathematical modeling —all AI/LLM frameworks are already in place. What matters is building solid, production-grade backend systems that allow these agents to reason over shopper needs safely and effectively. You will: Build robust, scalable backend systems for agent workflows, handling context, state, and interactions. Integrate AI agent capabilities with core platforms (payments, shopper accounts, risk, merchant services) safely and efficiently. Use RAG frameworks and structured data to provide intelligent responses, without fine-tuning models. Collaborate with Product, Frontend, Data, and
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