AI Automation Engineer
Resumen del puesto por JobGrid
AI Automation Engineer at leadtech: Remoto, España; Jornada completa; Tecnología; Data Science y ML. This listing is part of JobGrid's Empleos remotos de IA en páginas de empresas. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remoto, España
- Role classification: Tecnología, Data Science y ML, Jornada completa
- Source freshness: checked by JobGrid on 2026-05-27.
- Application path: candidates continue to the employer application page with non-personal referral tags.
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.
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.
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.
- 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.
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.
- 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.
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.
- 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.
Process & Knowledge Improvement
- 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.