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# AI Engineer

- **Company:** Koda Tech
- **Location:** Brussel, Belgium
- **Experience:** Experienced
- **Salary:** €85,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Continuous Integration, Fraud Prevention and Detection, Monitoring of Systems, Python (Programming Language), Knowledge Management, Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Build Management, AI Platforms, Kubernetes, Machine Learning Operations, Api Design, Restful APIs, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.be/details/5895526270

## About the Role

* 3+ years of commercial experience in AI Engineering, Machine Learning Engineering, or Data Science.
 * Strong Python software engineering skills.
 * Experience developing and deploying Machine Learning solutions in production.
 * Hands-on experience with Generative AI, LLMs, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
 * Experience with Azure, AWS, or GCP cloud platforms.
 * Knowledge of API development and modern software engineering practices.
 * Strong communication skills with the ability to work across technical and non-technical teams.
 * Fluent English.

Nice to Have

 * Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
 * MLOps experience including Docker, Kubernetes, CI/CD, and model monitoring.
 * Knowledge of vector databases and embeddings.
 * Exposure to financial services, insurance, or regulated environments.
 * Dutch and/or French language skills.

## Description

* Design and develop AI-powered applications and services for business-critical use cases.
 * Build and deploy Machine Learning models into production environments.
 * Develop Generative AI solutions using Large Language Models (LLMs), RAG architectures, and AI Agents.
 * Build enterprise AI Assistants and Copilot-style solutions for internal teams.
 * Collaborate with business stakeholders to identify opportunities for AI-driven automation and innovation.
 * Develop scalable APIs, backend services, and AI platforms.
 * Deploy and monitor AI applications within Azure cloud environments.
 * Contribute to MLOps frameworks, model governance, monitoring, and lifecycle management.
 * Help define AI engineering standards and best practices across the organisation., * Enterprise AI Assistants supporting claims, underwriting, and customer service teams.
 * Intelligent document processing for policy documents and claims data.
 * AI-powered customer support solutions.
 * RAG-based knowledge management platforms.
 * Fraud detection and risk assessment models.
 * Multi-agent AI systems automating operational workflows.
 * AI platform engineering initiatives enabling organisation-wide AI adoption.
 * Multimodal AI applications combining text, image, and structured insurance data.
 * Internal Copilot solutions designed to improve employee productivity.


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