Artificial Intelligence Engineer

Koda Tech; Antwerpen; Hybride; EUR 63 000 - 77 000; Plein temps

Avantages offerts par ce poste

Company car

Hybrid work model

Résumé du poste

Koda Tech is seeking an AI Engineer to own end-to-end AI delivery for client projects. You will translate business problems into deployable AI solutions, design and deploy ML models, and build Generative AI applications that scale in production.

You’ll own projects from discovery to deployment, ensuring monitoring and cloud deployment. The role emphasizes client interaction and practical AI strategy, with a hybrid work arrangement and a salary up to €70,000 plus benefits.

Qualifications

• Strong grounding in ML and data science principles.
• Commercial Python experience with ML frameworks.
• Experience with Generative AI concepts (embeddings, RAG, prompts).
• Ability to write production-grade code and deploy solutions.
• Experience deploying to cloud environments.
• Comfort across full data-to-production lifecycle.
• Clear client-facing communication.
• Fluency in Dutch (spoken and written).

Responsabilités

• Translate business problems into deployable AI solutions.
• Design and implement ML models for live environments.
• Build Generative AI apps (LLMs, RAG pipelines, agents).
• Own projects from discovery to deployment with full visibility.
• Deploy and monitor models in cloud environments.
• Collaborate with stakeholders to shape practical AI strategies.

Connaissances

Machine learning

Data science

Python

Generative AI

Cloud deployment

Production systems

Communication

Dutch (FLUENT)

Outils

ML frameworks

CI/CD

LLM orchestration

Description du poste

Ready to take ownership of end-to-end AI delivery and see your models create measurable impact in production — while earning up to €70,000 plus a company car?

I’m working with a fast-growing AI & Data consultancy that is expanding its AI Engineering team. This role offers the chance to work on client-facing AI systems that are deployed, used, and scaled — not parked in research notebooks.

What You’ll Actually Do:

This is a hands-on delivery role where your technical decisions directly influence client outcomes.

• Translate business problems into deployable AI solutions so clients can reduce costs, improve decision-making, or unlock new capabilities
• Design and implement machine learning models that move beyond experimentation and deliver reliable performance in live environments
• Build Generative AI applications (LLMs, RAG pipelines, agents) that automate workflows and enhance productivity at scale
• Own projects from discovery to deployment, giving you full visibility across architecture, modelling, and operational performance
• Deploy models into cloud environments with monitoring in place so solutions remain stable, measurable, and continuously improving
• Work directly with stakeholders to shape practical AI strategies rather than theoretical roadmaps

Your work won’t sit in isolation, it will be implemented, measured, and iterated on in real-world settings.

What You’ll Bring

• Strong grounding in machine learning and data science principles
• Commercial Python experience with modern ML frameworks
• Experience with, or clear exposure to, Generative AI concepts such as embeddings, RAG, and prompt optimisation
• Ability to write clean, maintainable code suitable for production systems
• Experience deploying solutions in cloud environments
• Comfort working across the full lifecycle — from raw data through to monitored production systems
• Clear communication skills for working in client-facing or cross-functional settings
• Fluency in Dutch (spoken and written) to work effectively with local clients and stakeholders

Additional Experience That Adds Value

• Exposure to MLOps practices such as CI/CD pipelines, experiment tracking, and monitoring
• Familiarity with LLM orchestration frameworks
• Experience delivering solutions in enterprise or regulated environments
• Consultancy or stakeholder-facing project experience

Why This Opportunity Stands Out

• You will work across varied industries, broadening your technical exposure
• You will gain hands-on experience with both traditional ML and modern Generative AI applications
• You will develop architectural thinking, positioning yourself for Technical Lead or Solution Architect progression
• You will operate in an environment that prioritises delivery quality and long-term impact
• Salary up to €70,000 plus company car and benefits
• Hybrid working model (2 days office / 3 days remote)

If you’re looking for a role where your AI expertise translates directly into deployed solutions and visible client impact, this is worth a conversation.

The team is actively interviewing. If this aligns with your goals, let’s speak soon.