AI Integration & Automation Engineer (m/w/d)

customssupport; Germany (OH); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Permanent role

Hybrid working

Conference & certification budget

Compute costs for experiments

Job summary

Customs Support Group seeks an AI Engineer to lead the development and customization of its AI stack for the European and other markets. You will design, test and implement practical, compliant agented AI solutions on top of foundation models, with retrieval, tool calling, and end-to-end agent workflows for customs operations.

You will work with Operations, Transformation, IT and Group teams to turn business needs into scalable solutions, ensuring governance and cost controls while delivering

Qualifications

• 1–2 years AI engineering or intelligent automation experience with LLM features in production.
• Strong Python and SQL with production code ownership.
• Experience integrating large language models into production systems — prompt design, retrieval-augmented generation, structured output, and graceful failure handling.
• Experience with at least one major cloud AI platform (Azure AI, AWS Bedrock or Google Vertex).
• Solid back-end fundamentals — APIs, data pipelines, testing & CI/CD.
• Excellent communication with operations staff who are AI non-experts.
• Professional fluency in English.

Responsibilities

• Develop and customise AI solutions for the Region market from prototype to production ownership.
• Identify automation opportunities across customs and processes and size them before building.
• Design solutions using generative AI, retrieval, tool calling, and structured extraction.
• Own evaluation and define success criteria for deployed solutions.
• Manage pilots, implementation, and scaling criteria.
• Monitor performance, cost, latency and business impact.
• Collaborate with local and group teams; ensure privacy, security and AI governance compliance.

Skills

Python

SQL

LLM integration

Production code ownership

Prompt design

Retrieval augmented generation

APIs & data pipelines

Communication with ops staff

English fluency

Tools

Azure AI

AWS Bedrock

Google Vertex

LangGraph

MCP

Temporal

Job description

About Customs Support Group

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.

The Role

You will take our AI stack and lead its development and customisation for the market.

This is a builder and do-er role. You will design, test and implement practical and compliant agentic AI solutions on top of foundation models document understanding, classification support, retrieval over our own procedures and tariff material, and agents that carry multi-step operational work end to end.

You are not being asked to train models from scratch. You are being asked to make models that already exist behave reliably enough that operations staff trust them with customs declarations, where being wrong has consequences.

Working closely with Operations, Transformation, IT and Group teams, you will turn business needs into scalable solutions.

Key Responsibilities

• Develop and customise AI solutions for the [Region] 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. This is treated as core to the role, not an afterthought.
• 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. You should understand how the EU AI Act applies to what you build, and be able to produce the documentation that goes with it.

Requirements

Essential

• 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. Not familiarity.
• 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. Most of this job is
• Strong communication skills — you will spend real time with operations staff who are experts in customs and not in AI.
• Professional fluency in English.

Desirable

• Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop review design. This is the single strongest signal we look for and we will weight it heavily.
• 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.

What success looks like in your first year

• By month three: You understand our customs processes well enough to challenge what we ask for, and you have shipped one small, useful thing.
• By month six: At least one AI solution is live, measured against a baseline, and demonstrably better than what it replaced.
• By month twelve: There is a working evaluation process others can use, a ranked pipeline of next opportunities, and at least two colleagues outside IT operating what you have built without you in the room.

What We Offer

• A key role in shaping AI capabilities in [Region].
• 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.
• Permanent role. Hybrid working.