21 ott - Ega
AI
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.Possiede le qualifiche e le competenze giuste per questo lavoro? Lo scopra qui sotto e invii la sua candidatura per essere preso/a in considerazione.Company CultureAutonomous by default - each person operates with genuine ownership, and the magic happens when those pieces connectPassionate and curious people who believe in what they're building - overachieving because they care, not because they're told toAI-first in everything, including internally - you're expected to use AI to automate your own work, not just the customer'sNo bureaucracy or red tape getting in the way of doing good workClose-knit team with strong cross-functional collaboration between Engineering, Product, and Customer SuccessWhat's on Offer€50,000 + 5% commission/bonus25 days holidayMonthly fitness stipend of $210 (Lifestyle Wallet) from day oneOngoing mental health support platform subscriptionPaid AI tooling subscription - because using the best tools mattersLearning budget for courses, books, conferences, and certificationsWhat You'll Be DoingTranslating complex business requirements into scalable technical solutions on the platform - workflows, AI agents, integrations, and automation logicDesigning and implementing APIs and third-party integrations across OMS, carriers, and helpdesk platformsPrompting, tuning, and evaluating LLM-powered components including classifications, extractions, guardrails,
and generative repliesLeading new use case implementation projects end-to-end, ensuring high-quality launches with measurable automation impactTroubleshooting complex technical challenges across systems, data, and AI behaviourPartnering with Customer Success Managers to align technical delivery with customer outcomes and ROIFeeding structured product insights back to the Product team based on what you see in real implementationsUsing AI to automate your own work - building internal tools, scripts, and agents that make the whole SE team fasterWhat We're Looking ForAI 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 jobAbility to translate business requirements into reliable automated flows, including edge cases, data mapping, retries, and clear decision logicEngineeringStrong API and integration experience - comfortable building and debugging across webhooks, auth flows, pagination, and error handlingHands-on xrtlpzc Python experience writing and shipping code used by others - integrations, automation scripts, or internal toolsSoft SkillsStrong communication - able to explain technical concepts clearly to non-technical stakeholders and keep multiple parties alignedSolid organisational skills with the ability to manage parallel implementations across multiple stakeholders and timelinesPreferredHands-on LLM experience - prompting, classification, guardrails, evaluation, and frameworks like LangChain or LlamaIndexExperience with low-code/workflow automation tools (Zapier, Make, n8n, Retool, or similar)E-commerce or OMS exposure, particularly Shopify - orders, fulfillments, returns, webhooksFamiliarity with customer service platforms such as Zendesk or Salesforce Service CloudBackground 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.
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