Senior Backend Engineer, SeQura

• 5+ years of experience as a Backend Engineer
• Experience in production-grade backend systems (Ruby on Rails preferred; Python, Kotlin, Java, Elixir, or JS also valued)
• Strong knowledge of OOP, clean coding, TDD, and agile principles
• Experience with agentic systems or LLM-powered agents (RAG, workflow orchestration, chatbots)
• English proficiency (Spanish nice to have)
• Attitude, ownership, and pragmatic mindset—able to build backend systems that support AI agents without needing DS skills

Desirable

• 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
• 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 AI teams to design systems and shape the shopper experience
• Design and build the backend foundations of seQura’s Smart Agent platform to assist shoppers throughout the purchase lifecycle
• Transform ambiguous product ideas and shopper needs into reliable, scalable backend services
• Orchestrate agent workflows across multiple services, managing context, state, and interactions
• Integrate intelligent agent capabilities with core platforms safely and efficiently
• Contribute to architectural decisions with clarity and simplicity in mind
• Collaborate effectively with cross-functional teams, driving alignment and shared ownership
• Monitor, optimize, and improve production systems, ensuring high performance, availability, and reliability
• What success look like:
• The Smart Agent platform operates at scale, handling complex shopper interactions with reliability and speed
• Agents consistently find and act on the right context to guide shoppers effectively
• Backend systems are robust, maintainable, and integrated seamlessly with core services
• Strong collaboration across Product, AI, and Engineering teams, with clear ownership and accountability

• Interview with People Team
• Meeting with the Hiring Manager
• Live peer review of your own code
• Meet the team