Qargo is a cloud-based (SaaS) Transport Management Platform. We are a scale-up based in London and Ghent (Belgium), rapidly expanding across Europe. The platform is an ‘all-in-one system’, handling everything from initial order entry to final invoicing. It optimises planning and has many built-in AI features to automate routine manual tasks and help spot potential issues. Qargo is designed to help modern logistics operations run more efficiently, while increasing profitability and sustainability.
We’re looking for an AI Software Engineer – MCP & Agents to join our team in Ghent. You’ll build the MCP tools and agent infrastructure that make Qargo agent-ready, for our customers and for our own teams. If you want autonomy, ownership and impact in an international scale-up, this is the role for you!
We are rapidly iterating to make the Qargo platform agent-ready for both end users and internal workflows. This includes building MCP tools that enable agents to interact intuitively with our extensive product. In this role, you will need to understand users’ goals and the tools their agents need to achieve them.
We also continue to integrate AI into our core product to save transport companies time and prevent planning and administrative errors.
- You will help make the Qargo platform agent-ready by expanding the MCP toolset that agents use to interact with our core TMS product.
- You will collaborate closely with internal customer success teams to understand their workflows and provide the right tools for agents to support them.
- You will help develop our internal agent infrastructure.
- You will collaborate closely with engineering and product teams to turn real logistics challenges into practical AI solutions.
- You will help scale, monitor, and improve our AI components to ensure reliability, efficiency, and performance.
- You will work across research, rapid prototyping, and productionisation of AI features.
- You will contribute to shaping Qargo’s long-term AI strategy and roadmap.