GenAI Engineer

Excited to start your journey in GenAI? Do you enjoy learning how to use new technologies and turning ideas into real-world solutions. At Projective Group, we’re looking for GenAI practitioners who want to help shape the future of financial services via AI transformation.

Whether you’re just starting your career or already have experience in AI, this is your opportunity to make an impact.

From day one, you’ll have the opportunity to work on internal projects (I.e. employee servicing chatbot, proposal assistant, staffing assistant, …) within our AI Lab, gaining experience with setting up GenAI solutions. You’ll also contribute to projects for top-tier financial institutions, including initiatives like AI-powered KYC solutions, multi-agent OKR performance management , and AI-led transformation office toolkits.

To support your growth, we offer an extensive AI training program, including specialized courses and certifications.

Our fast-growing portfolio of assignments within the financial sector will allow you to further develop and apply your GenAI skills. You’ll help shape innovative AI solutions across all our practices, collaborating with domain experts to ensure we deliver market-relevant and impactful offerings.

Learn more about our AI Competence Centre: https://www.projectivegroup.com/artificial-intelligence

• Fluent Dutch and English (French is a plus)
• A Master’s degree in Computer Science, Data Science, Mathematics, Artificial Intelligence or a related quantitative field
• Experience with Python and TypeScript for LLM integration and building GenAI workflows
• Expertise in state-of-the-art LLMs and embedding models, as well as RAG frameworks such as LangChain, Semantic Kernel, and LlamaIndex
• Proficiency in vector databases and advanced similarity and hybrid search solutions, including Pinecone, Elasticsearch, Azure AI Search, Chroma, and Weaviate
• Skilled in prompt engineering techniques, orchestration, templating and versioning and evaluation to ensure high-quality outputs
• Proven ability to deploy and automate GenAI workflows, with attention to AI safety measures such as guardrails, safety filters, and prompt-injection mitigation; and inference cost management