AI Software Engineer

Qargo TMS

Oost-Vlaanderen

Hybrid

EUR 65,000 - 90,000

Full time

18 hours ago
Be an early applicant
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Benefits offered by this job

Hybrid work
Collaborative culture
Impact ownership
Learning & growth
Competitive pay

Job summary

Qargo TMS in Ghent is seeking an AI Software Engineer to join our cloud-based Transport Management Platform. You will work across research, prototyping, and productionisation of AI features, integrating state-of-the-art models into the product and saving customers time.

You will collaborate with engineering and product teams to turn real logistics challenges into practical AI solutions, scale and monitor AI components, and help shape Qargo’s long-term AI strategy and roadmap.

Qualifications

  • Min. 2 years of experience in software engineering, applied AI, or similar technical roles.
  • Strong programming skills (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.
  • Proven 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.

Responsibilities

  • 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.
  • 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.

Job description

About Qargo

Qargo is a cloud-based (SaaS) Transport Management Platform. We are a scale-up based in London, Chicago 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.

Responsibilities
  • 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.
  • Proven 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.
What We Offer
  • Real impact and ownership in a growing international scale-up
  • A supportive and collaborative team culture
  • Hybrid working setup with flexibility and trust
  • Opportunities to learn, grow, and expand your technical knowledge
  • Competitive salary and benefits package
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

AI Software Engineer
AI Software Engineer

Qargo TMS • Gent

Hybrid
EUR 65,000 - 90,000
Hybrid work setup
Real impact & ownership
Learn and grow in a growing scale-up
+1
Software Engineer
Software Engineer

Qargo TMS • Oost-Vlaanderen

Hybrid
EUR 65,000 - 90,000
Flexible hours
Hybrid work environment
Green office and engagement activities
Support Engineer
Support Engineer

Qargo TMS • Gent

On-site
EUR 52,000 - 78,000
Hybrid working
Learning and growth
Collaborative culture
+2
AI Software Engineer — Hybrid, Impactful Scale-Up Role
AI Software Engineer — Hybrid, Impactful Scale-Up Role

Qargo TMS • Gent

Hybrid
EUR 65,000 - 90,000
Hybrid work setup
Real impact & ownership
Learn and grow in a growing scale-up
+1
Analytics Engineer
Analytics Engineer

Qargo TMS • Oost-Vlaanderen

On-site
EUR 55,000 - 75,000
Hybrid work setup
Competitive salary
Learning & growth opportunities
Frontend Software Engineer
Frontend Software Engineer

Qargo TMS • Oost-Vlaanderen

Hybrid
EUR 60,000 - 80,000
Flexible hours
Hybrid working
Green office and team events
Integrations Software Engineer
Integrations Software Engineer

Qargo TMS • Gent

On-site
EUR 55,000 - 90,000
Hybrid working
Green office
Team events
Junior Software Engineer
Junior Software Engineer

Qargo TMS • Gent

On-site
EUR 42,000 - 65,000
Hands-on tech environment
Flexible work environment
Ghent office
+2
Site Reliability Engineer
Site Reliability Engineer

Qargo TMS • Gent

On-site
EUR 80,000 - 120,000
Flexible hours
Hybrid working
Green office
+2
Integration Analyst
Integration Analyst

Qargo TMS • Oost-Vlaanderen

On-site
EUR 42,000 - 62,000
Competitive salary package
Green office in Ghent
Ownership and impact
+1