> Markdown version of [/jobs/ext/2157172-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/2157172-artificial-intelligence-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Artificial Intelligence Engineer

- **Company:** Koda Tech
- **Location:** Antwerpen, Belgium (Remote available)
- **Salary:** €70,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Python (Programming Language), Machine Learning, Raw Data, Tensorflow, Working Model 2D, Cloud Platform System, Large Language Models, Generative AI, Machine Learning Operations
- **Published:** August 21, 2026
- **Apply:** https://www.adzuna.be/details/5843974307

## About the Role

* 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

## Description

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., * 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.


## Related Videos

- [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow)
- [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata)
- [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)