AI Software Engineer

Qargo TMS

. Evaluate and prototype new AI models and techniques for document, workflow, and conversational tasks .

Posted 10/5/2026full-timeGhent • BelgiumJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying AI models and systems, with a strong focus on Python programming, AI/ML frameworks, and document processing. Capable of collaborating effectively with cross-functional teams to enhance AI-driven features and contribute to strategic initiatives.

Highest-signal resume keywords

Python ProgrammingAI/ML Tools and FrameworksProduction AI/ML Systems DeploymentDocument ProcessingNLP or Conversational AI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringApplied AIDocument ClassificationSummarizationTask PredictionDocument ExtractionMatching FlowsQuality ChecksChatbotsAutomated Bookings

Soft Skills

Problem-SolvingClear CommunicationCollaboration

Tools & Technologies

PyTorchHugging FaceLangChainLangGraphVector DatabasesInference Tooling

Industry Keywords

AI ModelsWorkflow TasksConversational TasksCost OptimizationLatency OptimizationReliability

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Evaluate and prototype new AI models and techniques for document, workflow, and conversational tasks
Bring AI prototypes to production, ensuring quality, scalability, and observability
Monitor and maintain AI systems in production, optimizing cost, latency, and reliability
Collaborate with cross-functional teams to define AI tasks such as document classification, summarization, and task prediction
Develop and enhance AI-driven features including document extraction, matching flows, quality checks, chatbots, and automated bookings
Stay up to date with AI advancements and identify product improvement opportunities
Contribute to Qargo’s long-term AI strategy and roadmap

Requirements

What you’ll need

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

Benefits

Comp & perks

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