Generative AI Engineer

Vivid Resourcing; Sint-Niklaas; Sur place; EUR 47 000 - 78 000; Plein temps

Avantages offerts par ce poste

Company car

Flexible mobility budget

Hybrid work model

12+ ADV days

Learning budget

Collaborative culture

Career progression

Résumé du poste

Vivid Resourcing is seeking a Generative AI Engineer to join a growing technology consultancy delivering AI solutions for leading insurance providers. You will work on LLMs, RAG, AI agents, and intelligent automation to improve customer service and streamline claims processing.

You will design and deploy production-ready AI solutions, build enterprise assistants, and engineer scalable data pipelines for structured and unstructured insurance data, while integrating with enterprise systems and

Qualifications

• 2–8 years' experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or Data Engineering.
• Strong Python programming skills.
• Experience developing and deploying machine learning or AI applications into production.
• Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or conversational AI.
• Experience working with both structured and unstructured enterprise data.
• Understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, or AI agent frameworks.
• Experience integrating APIs and deploying applications using Docker or container technologies.
• Excellent communication skills and the ability to collaborate with technical and business stakeholders.
• Nice to have experience with OpenAI, Anthropic Claude, Gemini, Llama, or other foundation models.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Experience building enterprise AI assistants, document intelligence solutions, or workflow automation platforms.
• Exposure to Azure, AWS, or Google Cloud AI services.
• Knowledge of MLOps, CI/CD pipelines, monitoring, and cloud-native AI deployments.

Responsabilités

• Design, develop, and deploy production-ready Generative AI and machine learning solutions.
• Build enterprise AI assistants, copilots, and intelligent chatbots using LLMs, prompt engineering, RAG, and AI agent frameworks.
• Develop AI-powered solutions for insurance use cases including claims handling, policy servicing, underwriting support, fraud detection, and customer engagement.
• Engineer scalable data pipelines for structured and unstructured insurance data, including policy documents, claims files, emails, and knowledge repositories.
• Integrate AI solutions with enterprise applications, REST APIs, databases, document management systems, and cloud platforms.
• Optimize AI applications for performance, scalability, security, explainability, and cost efficiency.

Connaissances

Python

Production deployment

RAG/LLMs

APIs

Docker

Communication

Description du poste

My client is looking for a Generative AI Engineer to join a growing technology consultancy delivering innovative AI solutions for leading insurance providers.

You'll be working on cutting-edge projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation, helping insurers improve customer service, streamline claims processing, enhance underwriting, and unlock value from enterprise data.

What You'll Do

• Design, develop, and deploy production-ready Generative AI and machine learning solutions.
• Build enterprise AI assistants, copilots, and intelligent chatbots using LLMs, prompt engineering, RAG, and AI agent frameworks.
• Develop AI-powered solutions for insurance use cases including claims handling, policy servicing, underwriting support, fraud detection, and customer engagement.
• Engineer scalable data pipelines for structured and unstructured insurance data, including policy documents, claims files, emails, and knowledge repositories.
• Integrate AI solutions with enterprise applications, REST APIs, databases, document management systems, and cloud platforms.
• Optimize AI applications for performance, scalability, security, explainability, and cost efficiency.

What We're Looking For

• 2–8 years' experience in AI Engineering, Machine Learning, Data Science, Software Engineering, or Data Engineering.
• Strong Python programming skills.
• Experience developing and deploying machine learning or AI applications into production.
• Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or conversational AI.
• Experience working with both structured and unstructured enterprise data.
• Understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, or AI agent frameworks.
• Experience integrating APIs and deploying applications using Docker or container technologies.
• Excellent communication skills and the ability to collaborate with technical and business stakeholders.

Nice to Have

• Experience with OpenAI, Anthropic Claude, Gemini, Llama, or other foundation models.
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar orchestration frameworks.
• Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Experience building enterprise AI assistants, document intelligence solutions, or workflow automation platforms.
• Exposure to Azure, AWS, or Google Cloud AI services.
• Knowledge of MLOps, CI/CD pipelines, monitoring, and cloud-native AI deployments.

What You'll Receive

• Competitive salary of up to €6,500 per month, depending on experience.
• Company car or flexible mobility budget.
• Hybrid working model based in Sint-Niklaas.
• 12+ ADV days plus an attractive benefits package.
• Opportunity to work on innovative AI projects for leading insurance organisations.
• Dedicated learning budget for AI certifications, conferences, and professional development.
• Collaborative engineering culture focused on innovation, knowledge sharing, and continuous improvement.
• Clear progression opportunities into Senior AI Engineer, Lead AI Engineer, AI Architect, or Head of AI.