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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer - **Company:** Vivid Resourcing - **Location:** Kortrijk, Belgium - **Experience:** Experienced - **Salary:** €72,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Databases, Content Analysis, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Natural Language Processing, Software Architecture, Recommender Systems, Cloud Services, Tensorflow, Software Engineering, Unstructured Data, Feature Engineering, Pytorch, Large Language Models, Model Validation, Generative AI, AI Platforms, HuggingFace, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 8, 2026 - **Apply:** https://www.adzuna.be/details/5872063574 ## About the Role * 2-8 years of experience in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or a similar role. * Strong Python development skills. * Experience building, deploying, and maintaining production-grade machine learning or AI solutions. * Hands-on experience with Generative AI, LLMs, NLP, RAG, AI agents, recommendation systems, or predictive modelling. * Good understanding of data engineering concepts, including ETL/ELT pipelines, APIs, data modelling, feature engineering, and cloud data platforms. * Experience working with financial, transactional, business, or other structured/unstructured data is a strong advantage. * Experience with Azure, AWS, or GCP, ideally in production environments. * Familiarity with technologies such as Azure OpenAI, Databricks, LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow, MLflow, or similar is an advantage. * Understanding of MLOps and CI/CD for deploying and monitoring AI solutions is a plus. * Strong problem-solving skills and the ability to translate business requirements into practical AI solutions. * Excellent communication skills and a collaborative mindset. * Fluent in English. ## Description * Design, develop, and deploy production-grade AI and machine learning models for financial SaaS applications. * Build Generative AI and LLM-powered solutions to automate financial workflows, document analysis, knowledge retrieval, and other business processes. * Develop AI services and data pipelines that integrate seamlessly with cloud-based financial applications. * Build and maintain ETL/ELT pipelines, feature engineering workflows, and data models supporting AI and analytics use cases. * Implement RAG pipelines, AI agents, and LLM-based applications for financial and business use cases. * Integrate AI models with APIs, databases, cloud platforms, and modern software architectures. * Collaborate with software engineers, data engineers, product managers, and domain experts to take AI solutions from prototype to production. * Apply best practices around MLOps, model evaluation, monitoring, scalability, security, and responsible AI, particularly in a finance-focused environment. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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