Job Specifications
About Qargo
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 to join our team in Ghent. If you’re looking to work in an international company in a role that offers autonomy, ownership and impact, this is the role for you!
About the Role
We are constantly looking for ways to save transport companies time and prevent planning and administrative errors using AI. We use an iterative approach: start with a small MVP (minimum viable product) that aids the user, then further automate based on user feedback. As an AI engineer, you must learn to think like the user and understand what truly helps them save time and reduce mistakes
You will work across research, rapid prototyping, and productionisation of AI features
Your focus will be on applying and integrating state-of-the-art models (LLMs, vision, document understanding) into Qargo’s platform
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 contribute to shaping Qargo’s long-term AI strategy and roadmap
Key Responsibilities
Evaluate and prototype with new AI models and techniques to solve document, workflow, and conversational tasks
Bring AI prototypes to production, ensuring quality, scalability, and observability
Monitor and maintain AI systems running in production, optimising cost, latency, and reliability
Collaborate with cross-functional teams to define clear AI tasks (e.g., document classification, summarisation, task prediction)
Develop and enhance AI-driven features such as document extraction, matching flows, quality checks, chatbots, and automated bookings
Stay up to date with advancements in AI and identify opportunities to improve the product
Skills & Experience
Min. 2 years of experience in software engineering, applied AI, or similar technical roles
Strong programming skills (preferably Python and/or modern backend languages)
Experience with AI/ML tools and frameworks such as PyTorch, Hugging Face, LangChain/LangGraph, vector databases, and inference tooling
oProven experience deploying and operating AI/ML systems in a production environment
Ability to experiment quickly, iterate fast, and validate assumptions
Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
Clear communication skills and the ability to collaborate with engineers, product managers, and domain experts
Experience with document processing, NLP, or conversational AI is a plus