
Customs AI Integration & Automation Engineer (Spain)
Customs Support Group19 days ago
Remote, WorldwideEntry Level
Responsibilities
- Develop and customize generative-AI solutions from prototype through production ownership.
- Identify and size automation and decision-support opportunities across customs and business processes.
- Build LLM-powered retrieval, tool-calling, structured extraction, and agentic workflows for customs operations.
- Define evaluations, regression criteria, and launch standards for AI solutions and monitor performance, latency, inference cost, and business impact.
- Manage pilots and implementation, including criteria for scaling or stopping initiatives.
- Collaborate with Operations, Transformation, IT, Group functions, Legal, IT Security, and technology partners.
- Contribute to privacy, security, AI governance, and EU AI Act compliance documentation.
Requirements
- 1–2 years of AI engineering, software engineering, or intelligent automation experience involving production LLM or AI features used by real users.
- Strong Python and SQL skills with production code ownership.
- Demonstrable experience integrating large language models into production systems, including prompt and context design, retrieval-augmented generation, structured output, and graceful failure handling.
- Practical experience with at least one major cloud AI platform: Azure AI, AWS Bedrock, or Google Vertex.
- Solid backend engineering fundamentals covering APIs, data pipelines, testing, and CI/CD.
- Strong communication skills for working with customs operations experts and professional fluency in English.
- Preferred experience includes evaluation harnesses, regression suites, LLM-as-judge methods, human-in-the-loop review, context engineering, LangGraph, MCP, Temporal or equivalent orchestration frameworks, long-running agent workflows, observability, and inference cost control.
Benefits
- Permanent role with hybrid working.
- Professional growth opportunities and a budget for conferences, certification, and model or compute costs for personal experiments.
- Opportunity to build AI solutions with direct business impact on real operational volume in an international environment.