AI Software Engineer (Hybrid) — Build AI for Logistics

Qargo TMS

Oost-Vlaanderen

Hybride

EUR 65 000 - 90 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Hybrid working setup
Real impact and ownership
Collaborative team culture
Opportunities to learn and grow
Competitive salary and benefits

Résumé du poste

Qargo invites an AI Software Engineer to join our Ghent team, focusing on integrating state-of-the-art AI models (LLMs, vision, document understanding) into our cloud-based Transport Management Platform. You will work across research, rapid prototyping, and productionisation, collaborating with engineering and product teams to solve real logistics challenges.

We value autonomy, ownership, and impact, with a hybrid working setup and opportunities to grow technical knowledge while contributing to

Qualifications

  • Min. 2 years of experience in software engineering, applied AI, or similar roles.
  • Strong programming skills, preferably Python and/or modern backend languages.
  • Experience with AI/ML tools such as PyTorch, Hugging Face, LangChain/LangGraph.
  • Proven experience deploying and operating AI/ML systems in production.
  • 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.

Responsabilités

  • 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.

Connaissances

Python
AI/ML
PyTorch
Hugging Face
LangChain/LangGraph
Vector databases
Inference tooling
Production deployment
Problem solving
Autonomy
Communication
Document processing/NLP

Outils

Python
Backend languages

Description du poste

Qargo invites an AI Software Engineer to join our Ghent team, focusing on integrating state-of-the-art AI models (LLMs, vision, document understanding) into our cloud-based Transport Management Platform. You will work across research, rapid prototyping, and productionisation, collaborating with engineering and product teams to solve real logistics challenges.

We value autonomy, ownership, and impact, with a hybrid working setup and opportunities to grow technical knowledge while contributing to

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