Artificial Intelligence Engineer

Vivid Resourcing; Kortrijk; Hybride; EUR 40 000 - 67 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Mobility budget

13+ ADV days

Office in Kontich

Career progression

Résumé du poste

Vivid Resourcing in Kortrijk is seeking an AI Engineer to design and deploy production-grade AI/ML models for financial SaaS, with a focus on Generative AI and LLM-powered solutions.

You will build data pipelines, ETL/ELT processes, and MLOps practices, collaborating with cross-functional teams to move AI from prototype to production, with hybrid work including an office in Kontich.

Qualifications

• 2–8 years of experience in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or a similar role.
• Experience building, deploying, and maintaining production-grade ML/AI solutions.
• Hands-on experience with Generative AI, LLMs, NLP, RAG, AI agents, recommender systems, or predictive modelling.
• Good understanding of data engineering concepts, including ETL/ELT pipelines, APIs, data modelling, feature engineering, and cloud data platforms.
• 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.
• Understanding of MLOps and CI/CD for deploying and monitoring AI solutions.
• Strong problem-solving skills and the ability to translate business requirements into practical AI solutions.
• Excellent communication skills and a collaborative mindset.

Responsabilités

• 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.

Connaissances

Production-grade ML

Generative AI

MLOps

CI/CD

Cloud platforms

Data engineering

Problem solving

Communication

Outils

Azure

AWS

GCP

Azure OpenAI

Databricks

LangChain

LangGraph

Hugging Face

PyTorch

TensorFlow

MLflow

Description du poste

As an AI Engineer, you'll be joining an exciting company in Kortrijk, building AI-powered solutions for the financial services sector.

Responsibilities

• 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.

Your Profile

• 2–8 years of experience in AI Engineering, Machine Learning Engineering, Data Science, Software Engineering, or a similar role.
• 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.

The Offer

• Hybrid working with an office presence in Kontich.
• Opportunity to build next-generation AI solutions for the financial services industry.
• Work with modern technologies including LLMs, Azure OpenAI, Databricks, cloud-native AI services, and MLOps.
• Competitive salary of up to €6,000 gross per month, depending on experience.
• Company car or mobility budget.
• 13+ ADV days.
• Continuous learning through technical training, certifications, and exposure to emerging AI technologies.
• Clear career progression toward Senior AI Engineer, AI Architect, or Technical Lead positions.
• A collaborative engineering culture where innovation, technical ownership, and continuous improvement are encouraged.