Customs AI Integration & Automation Engineer (Poland)

19 days ago

Remote, WorldwideEntry Level / Mid Level

Responsibilities

Develop and customize AI solutions from prototype through production ownership.
Build generative-AI and large-language-model solutions using retrieval, tool calling, structured extraction, and agentic workflows.
Identify and size automation and decision-support opportunities across customs and business processes.
Define and operate evaluation processes, including regression checks and criteria for scaling or ending pilots.
Manage pilots and implementations while monitoring performance, inference cost, latency, and business impact.
Collaborate with Operations, Transformation, IT, Group teams, and technology partners.
Contribute to privacy, security, AI governance, and EU AI Act compliance documentation.

Requires 1–2 years of AI engineering, software engineering, or intelligent automation experience, including production AI or LLM features used by real users.
Requires strong Python and SQL skills with production code ownership.
Requires experience integrating large language models into production systems, including prompt and context design, retrieval-augmented generation, structured output, and graceful failure handling.
Requires practical experience with at least one major cloud AI platform: Azure AI, AWS Bedrock, or Google Vertex.
Requires solid backend and full-stack engineering fundamentals, including APIs, data pipelines, testing, and CI/CD.
Requires strong communication skills and professional fluency in English.
Preferred qualifications include evaluation engineering, eval harnesses, regression suites, LLM-as-judge methods, human-in-the-loop review, context engineering, agent orchestration, LangGraph, MCP, Temporal, long-running workflows, observability, and inference cost control.

Permanent role with hybrid working.
Opportunity to build AI solutions with direct business impact on real operational volume.
International environment with collaboration across Customs Support Group markets.
Professional growth opportunities, including a budget for conferences and certifications.
Budget for model and compute costs for personal experiments.

1,001-5,000 employees