AI Automation Engineer, Leadtech

• The ideal candidate moves fluidly between designing a multi-agent architecture, building an N8N automation workflow, iterating on an LLM prompt, and integrating elements like API calls in data pipelines — all while keeping the end-user experience and operational excellence at heart
• They take full ownership of projects, document as they go, and know how to unblock themselves
• 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. Building APIs is a plus
• Deep understanding of REST API design principles — HTTP semantics (GET, POST, PUT, PATCH), status codes, request/response structuring, and versioning
• 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
• Familiarity with voice AI platforms such as Vapi, Bland AI, ElevenLabs, ConnexAI, Retell AI or equivalent for call AI Agent development
• Solid understanding of JSON data structures, API response parsing, and structured output validation
• Working knowledge of JavaScript and Python
• 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
• Proven ability to work autonomously while maintaining close collaboration with cross-functional teams — technical leads, product managers, and support operations
• Organised, accountable, and adaptable — able to manage multiple parallel automation projects effectively in a fast-paced environment
• Curious and self-driven, with a genuine interest in pushing the boundaries of what AI systems can automate

Desirable

• 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
• 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
• Integrate voice AI platforms (e.g. Retell AI, ElevenLabs, ConnexAI, Vapi, BlindAI, etc.) with custom prompt logic for call bot behaviour, customer handling, and multi-step flows
• 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
• 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
• Collaborate with Development, Product, and QA teams to reproduce, diagnose, and escalate complex technical issues efficiently and with complete context
• Participate in regular syncs with technical leads to identify recurring automation gaps and drive process improvements
• Craft and iterate on LLM prompts for structured output generation — including JSON schema enforcement, multi-category classification, sentiment analysis, and application reference extraction
• Debug and improve AI pipeline outputs, addressing inconsistencies in model responses
• Apply knowledge of AI delegation and orchestration patterns to design reliable, scalable agent workflows
• Identify recurring workflow gaps or automation opportunities and propose preventive or optimisation actions
• Contribute to internal technical documentation, API specs, runbooks, and workflow guides to improve team efficiency and knowledge sharing
• Support onboarding and upskilling of new team members on automation tools, AI systems, and integration patterns
• Collaborate with cross-functional teams on initiatives that enhance the customer experience and streamline operational workflows