A fast-growing AI company that's genuinely cracked the e-commerce chatbot problem is looking for a Integration Engineer (not customer facing) to own the technical delivery of their AI-powered customer service platform. You'll be the bridge between cutting-edge LLM tooling and real-world e-commerce operations - designing integrations, building automations, and continuously raising the bar on what AI agents can resolve autonomously. If you're an engineer who thinks in workflows, loves applied AI, and wants to see the direct impact of your work on customers at scale, this is the role.Company Culture Autonomous by default - each person operates with genuine ownership, and the magic happens when those pieces connect Passionate and curious people who believe in what they're building - overachieving because they care, not because they're told to AI-first in everything, including internally - you're expected to use AI to automate your own work, not just the customer's No bureaucracy or red tape getting in the way of doing good work Close-knit team with strong cross-functional collaboration between Engineering, Product, and Customer SuccessWhat's on Offer €50,000 + 5% commission/bonus 25 days holiday Monthly fitness stipend of $210 (Lifestyle Wallet) from day one Ongoing mental health support platform subscription Paid AI tooling subscription - because using the best tools matters Learning budget for courses, books, conferences, and certificationsWhat You'll Be Doing Translating complex business requirements into scalable technical solutions on the platform - workflows, AI agents, integrations, and automation logic Designing and implementing APIs and third-party integrations across OMS, carriers, and helpdesk platforms Prompting, tuning, and evaluating LLM-powered components including classifications, extractions, guardrails, and generative replies Leading new use case implementation projects end-to-end, ensuring high-quality launches with measurable automation impact Troubleshooting complex technical challenges across systems, data, and AI behaviour Partnering with Customer Success Managers to align technical delivery with customer outcomes and ROI Feeding structured product insights back to the Product team based on what you see in real implementations Using AI to automate your own work - building internal tools, scripts, and agents that make the whole SE team fasterWhat We're Looking For AI and Automation(Core Requirement) Genuine AI-first mindset - you're actively using LLMs and AI tools in your day-to-day work and pushing to automate the repetitive parts of your own job Ability to translate business requirements into reliable automated flows, including edge cases, data mapping, retries, and clear decision logicEngineering Strong API and integration experience - comfortable building and debugging across webhooks, auth flows, pagination, and error handling Hands-on Python experience writing and shipping code used by others - integrations, automation scripts, or internal toolsSoft Skills Strong communication - able to explain technical concepts clearly to non-technical stakeholders and keep multiple parties aligned Solid organisational skills with the ability to manage parallel implementations across multiple stakeholders and timelinesPreferred Hands-on LLM experience - prompting, classification, guardrails, evaluation, and frameworks like LangChain or LlamaIndex Experience with low-code/workflow automation tools (Zapier, Make, n8n, Retool, or similar) E-commerce or OMS exposure, particularly Shopify - orders, fulfillments, returns, webhooks Familiarity with customer service platforms such as Zendesk or Salesforce Service Cloud Background in SaaS implementation, solutions engineering, or technical customer supportIf this sounds like your kind of role, feel free to reach out for a confidential chat.