AI Engineer

• help an international organization scale by applying your expertise to engineering AI based software systems;
• apply and extend agentic frameworks such as LangGraph to build intelligent orchestration flows;
• design and execute advanced prompt-engineering strategies to optimise LLM performance;
• work hands-on with multi modal generative AI models and integrate them into applications;
• design and operate Retrieval Augmented Generation (RAG) pipelines using vector databases and hybrid search;
• implement, deploy and monitor solutions on Microsoft Azure;
• collaborate with product, design and engineering teams to translate ML prototypes into production services.

Naturally you learn every day and from each situation and you collaborate with your colleagues.But most importantly be the true you. The one and only you. With your personal strengths, view of the world and unique personality. You need the following qualifications for the position of AI Engineer:

• a Master's degree in Computer Science, Software Engineering, or a related field;
• proven experience with LangGraph or similar agentic frameworks and advanced prompt engineering;
• strong Python skills and experience working in development teams;
• hands‑on experience with RAG pipelines, vector DBs (e.g. Pinecone, Milvus, Azure Vector DB) and hybrid search.

As AI Engineer you help shape how AI and automation can improve the future of tax. Your work will help streamline tax processes, improve insights, reduce manual effort and support better decision-making for clients and teams. By working closely with stakeholders across business and technology, you will contribute to solutions that are robust, scalable and aligned with real business needs.