Customs AI Integration & Automation Engineer (France)
Job description
AI engineering role at Customs Support Group focused on developing and customising agentic AI solutions on top of foundation models for customs operations. The role involves building, testing and implementing practical, compliant AI solutions that operations staff can trust with customs declarations.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid
- Languages
- English – fluent
What you'll do
- Develop and customise AI solutions for the market, from prototype through to production ownership
- Be curious and prepared to self-learn to use generative-AI to build agents that make a difference to our business
- Identify automation and decision-support opportunities across customs and business processes, and size them honestly before building
- Design solutions using generative AI and large language models — retrieval, tool calling, structured extraction from customs documentation, and agentic workflows where they genuinely fit
- Own the evaluation: define how we know a solution is working before it ships, and how we know a change has not made it worse
- Manage pilots and implementation, and set the criteria for killing a pilot as clearly as the criteria for scaling it
- Monitor performance, inference cost, latency and business impact
- Collaborate with local teams, Group functions and technology partners
- Contribute to privacy, security and AI governance compliance, working with Group Legal and IT Security, understanding how the EU AI Act applies and producing the documentation that goes with it
What we're looking for
- 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on
- Strong Python and SQL, with production code ownership
- Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully
- Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Vertex)
- Solid full stack backend engineering fundamentals — APIs, data pipelines, testing, CI/CD
- Strong communication skills — spending real time with operations staff who are experts in customs and not in AI
- Professional fluency in English
Nice to have
- Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop review design
- Context engineering: designing and version-controlling what a model sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do
- Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows
- Observability and cost control for inference at volume
Benefits
The opportunity to build solutions with direct business impact, on real operational volume rather than pilots that never leave the lab
An international and fast-evolving environment, with peers in other Customs Support Group markets working on the same problems
Professional growth opportunities, including a budget for conferences, certification and model/compute costs for your own experiments
- A key role in shaping AI capabilities
- Permanent role. Hybrid working
Apply
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About Customs Support Group
The European market leader in customs services
Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency.
Key facts
- Customs services
- European market leader in customs services
- Operating across 15 countries
- Owned by private equity
- Key priorities include digital transformation, operational excellence and customer experience