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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agent & Automation Development Design - **Company:** Leadtech Diversified - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Test Suite, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, BigQuery, Software as a Service, Data Infrastructure, Software Debugging, JSON, Python (Programming Language), Parsing, Sentiment Analysis, Postman, Large Language Models, Multi-Agent Systems, Prompt Engineering, Zapier, Generative AI, Enterprise Integration, Nintex, OPUS (Software), Virtual Agents, Restful APIs, Zendesk, Looker Analytics, GPT, Api Management - **Published:** July 13, 2026 - **Apply:** https://es.trabajo.org/oferta-5354-b2273b3e958aa1c09ef8f7db44f61756 ## About the Role We are looking for an analytical, automation-driven, and technically versatile professional who thrives at the intersection of AI systems, workflow automation, and customer operations. The AI Automation Engineer combines deep technical expertise in LLM-powered agents and REST API integration with a clear understanding of customer service workflows - building intelligent systems that transform how support operates at scale. Main Responsibilities AI Agent & Automation Development Design and build multi-agent AI systems integrating LLMs for end-to-end customer-facing workflows: email triage, refund processing, escalation logic, voice bot interactions. Develop and maintain N8N automation workflows. Mid knowledge of Python and JavaScript are required for code node scripting. Classify and prioritize automation use cases based on business impact, technical complexity, and urgency. Ensure every automated workflow reflects high-quality communication standards, SLA adherence, tone consistency, and operational resilience. API Integration & Technical Analysis Define, document, and test REST APIs for integration with CRMs, helpdesk platforms (Freshdesk), and internal systems across multiple product versions. Perform initial technical assessments of integration issues by reviewing API responses, logs, configurations, and system outputs to detect errors or inconsistencies. Build and manage comprehensive API test suites in Postman and N8N, covering edge cases and structured regression scenarios. Participate in regular syncs with technical leads to identify recurring automation gaps and drive process improvements. LLM Prompt Engineering & Structured Outputs Craft and iterate on LLM prompts for structured output generation - including JSON schema enforcement, multi-category classification, sentiment analysis, and application reference extraction. Process & Knowledge Improvement Identify recurring workflow gaps or automation opportunities and propose preventive or optimisation actions. Support onboarding and upskilling of new team members on automation tools, AI systems, and integration patterns. Requirements Education & Experience Minimum 2 years of experience in AI automation engineering, backend integration, or technical roles in digital or SaaS environments. Proven experience building and maintaining automation workflows in N8N or equivalent platforms (Zapier, Make, etc.). Hands-on experience working with REST APIs - design, integration, testing, and documentation. Nice to have Background in Customer Service or Support operations is a plus, providing valuable context for automation design. Proficiency with N8N: webhook debugging, dynamic base URL configuration and AI node integration. Experience with ZenDesk, HelpScout, Freshdesk or LiveAgent CRM platforms, and customer support tooling for API integration. Strong expertise in prompt engineering and Generative AI (LLMs), including developer-level experience with Claude (Sonnet, Opus), GPT, and similar models. Proficiency with Postman for API testing, test suite management, and environment configuration. Solid understanding of JSON data structures, API response parsing, and structured output validation. Working knowledge of JavaScript and Python. Skills Strong analytical and problem-solving abilities, with a structured, detail-oriented approach to debugging automation pipelines and integration issues. Excellent written and verbal communication skills in English (advanced level, interviews will be made in full English); Spanish is a plus but not mandatory. Organised, accountable, and adaptable - able to manage multiple parallel automation projects effectively in a fast-paced environment. WHY LEADTECH Diversified app portfolio with millions of active users in a high-growth non-gaming vertical. Mature data infrastructure: BigQuery, Looker, AppsFlyer, and a proprietary analytics stack for fast decision-making. 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