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.
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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 Success
What'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 certifications
What 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 faster
What 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 logic
Engineering
Strong API and integration experience - comfortable building and debugging across webhooks, auth flows, pagination, and error handling
Hands-on xpavfwm Python experience writing and shipping code used by others - integrations, automation scripts, or internal tools
Soft 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 timelines
Preferred
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 support
If this sounds like your kind of role, feel free to reach out for a confidential chat.