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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Integration & AI Automation Engineer - **Company:** The Fragrance Shop - **Location:** Manchester, UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Authentication Protocols, Cloud Computing, Computer Programming, Data Loss, Data Transformation, Data Normalization, Relational Databases, Software Debugging, DevOps, JSON, Python (Programming Language), PostgreSQL, MySQL, Node.Js, OAuth, Open Source Technology, Shopify, Systems Integration, TypeScript, Cloud Platform System, Large Language Models, Zapier, Generative AI, Microsoft Business Central, Integration Frameworks, Real Time Data, Graphql, Api Design, Restful APIs, Zendesk, Webhooks, Software Version Control, Data Pipelines, Docker, Mulesoft - **Published:** June 29, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=bb172b893cb5c79b ## About the Role Do you have experience in TypeScript?, Do you have a Master's degree?, * n8n Mastery: Minimum 2+ years of hands-on experience building complex production-grade workflows in n8n. Deep understanding of sub-workflows, merge strategies, wait states, and webhook handling. * AI/LLM Execution: Proven track record of deploying LLMs into business processes. Experience with function-calling/tool-use paradigms where an LLM dynamically chooses to call backend APIs. * Programming: Strong proficiency in Node.js / JavaScript / TypeScript and/or Python. * API Architecture: Deep expertise in RESTful APIs, webhooks, JSON data manipulation, authentication protocols (OAuth2, API Keys), and GraphQL. * DevOps & Infrastructure: Solid understanding of hosting n8n securely (Docker, AWS, or similar cloud infrastructure) and setting up relational databases (PostgreSQL, MySQL). Nice-to-Have * Experience in an enterprise Retail or eCommerce environment (understanding of Order Management Systems, ERP inventory flows, and customer ticketing data models). * Familiarity with vector embeddings, tokenization metrics, and optimizing prompt token windows. * Experience with other integration tools (Make, Zapier, MuleSoft) for comparative architecture decisions. Core Competencies & Soft Skills * The Automation Mindset: A passion for identifying friction points in operational workflows and designing automated, scalable fixes. * Problem-Solving: Ability to debug non-deterministic AI outputs and construct predictable, deterministic safeguards around generative features. * Clear Communicator: Able to act as a bridge between technical infrastructure and operational leaders to translate business rules into system prompts. Reports To: Technology Director / Head of Engineering ## Description We are seeking a highly skilled Integration & AI Automation Engineer to design, build, and maintain our next-generation integration layer. In this role, you will move beyond traditional point-to-point integration, leveraging n8n and advanced Large Language Models (LLMs) to build autonomous AI agents, intelligent workflows, and robust data pipelines. You will be responsible for connecting our core retail systems (eCommerce, ERP, OMS, and CRMs) with cutting-edge AI orchestration layers to drive operational efficiency, intelligent customer service resolutions, and real-time data automation., 1. Workflow Automation & Orchestration (n8n) * Architect, deploy, and optimize scalable, asynchronous workflows using n8n (self-hosted Cloud environments). * Build advanced workflows utilizing n8n's Advanced AI nodes, utilizing LangChain concepts, vector stores, and custom tool creation. * Implement rigorous error handling, custom fallback routing, and alert mechanisms within n8n to ensure zero data loss across business-critical pipelines. * Write custom JavaScript/TypeScript snippets within data transformation nodes to handle complex payloads and data normalization. 2. AI Engineering & LLM Integration * Integrate foundation models (OpenAI, Anthropic, open-source models) via API into live production workflows. * Design, test, and version-control complex system prompts, steering autonomous agents to operate reliably within strict enterprise guardrails. * Implement Retrieval-Augmented Generation (RAG) pipelines by connecting vector databases (e.g., Pinecone, Qdrant, Milvus) to supply AI agents with real-time operational context. * Build and maintain Human-in-the-Loop (HILA) approval layers to seamlessly route high-uncertainty AI outputs to human operational queues (via Slack, Teams, or CRM webhooks). 3. API & Core Systems Integration * Develop custom, reusable n8n nodes or robust HTTP request architectures to interface with major retail enterprise platforms (e.g., Shopify Plus, Microsoft Business Central, Zendesk, or custom 3PL APIs). * Ensure high-performance data syncing between real-time webhooks, relational databases, and distributed event streams. * Optimizse API token usage, monitor latency, and implement intelligent rate-limiting strategies to control third-party LLM costs. ## Related Videos - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)