The posting
Working as an AI Engineer, you will:
- Analyse business processes and identify opportunities for automation and AI-driven improvements.
- Design, develop and implement end-to-end automation solutions, including scripts, workflows, process orchestration and AI agents.
- Build intelligent assistants, copilots and AI agents based on LLMs, integrating them with enterprise systems and business processes.
- Design and implement system integrations using REST/SOAP APIs, webhooks and middleware.
- Develop ETL pipelines and data processing solutions to support AI-powered applications and business automation.
- Translate business and stakeholder requirements into scalable, secure and maintainable technical solutions.
- Take ownership of solutions throughout the entire development lifecycle, from identifying opportunities and designing concepts to implementation and production deployment.
- Strong programming skills in Python and/or C#, with solid software engineering practices, including Git, testing and CI/CD.
- Hands-on experience with system integrations, including REST/SOAP APIs, webhooks and Microsoft Graph API.
- Practical experience with automation platforms such as Power Automate / Power Platform, Azure Logic Apps, UiPath, n8n or Airflow.
- Experience with Microsoft Azure, particularly Azure Functions, Azure OpenAI, AI Services and Azure DevOps.
- Knowledge of Docker and relational databases such as SQL Server or PostgreSQL.
- Proven experience building solutions using LLMs and Generative AI, with an understanding of prompt engineering, RAG and AI orchestration.
- Ability to work independently, proactively identify opportunities and take ownership of technical solutions.
- Excellent communication and stakeholder management skills.
- English proficiency at C1 level.
Nice to have:
- Familiarity with AI frameworks and tools such as Copilot Studio, LangChain, Semantic Kernel or AutoGen.
- Experience with vector databases and multi-agent systems.
- Knowledge of data platforms such as Databricks, Snowflake, Microsoft Fabric or Azure Synapse.
- Understanding of Data Lake and Data Warehouse architectures.
- Experience in tax technology, finance transformation, ERP or financial systems.
- Microsoft certifications in Azure, Data or Power Platform.
Our client is a leading global professional services organization providing business, tax and advisory services to companies across various industries. Its Tax practice supports organizations in navigating complex tax regulations, optimizing tax processes and addressing financial and regulatory challenges. The team combines deep tax expertise with technology and data-driven solutions to help businesses transform their tax functions. Digital innovation and automation play an increasingly important role in delivering efficient, scalable and future-ready services.



