Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

A seasoned software engineer who can sit with front-office operators, understand their workflows, and design/build applications and automations that leverage modern LLM tools. This position could be later expanded to managing a small team.                               

• Engage directly with front-office operators to identify automation opportunities and pain points
• Design and build applications/workflow automations, leveraging LLM tools (e.g. Claude, MCP servers, agentic workflows)                                                     
• Bring strategic thinking to how AI/automation should evolve within QDI's Bronze/Silver/Gold data architecture
• Set technical direction and best practices for the future AI team                                     
• Grow into a team lead role after ~6 months, managing and hiring for AI initiatives                  

• Bachelor's degree in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related quantitative field
• Minimum 5+ years of professional software engineering experience, with demonstrated expertise in building production-grade applications
• Exceptional communication and stakeholder management capabilities, with proven ability to translate complex technical concepts for non-technical business audiences
• Demonstrated hands-on experience with Large Language Models, AI tooling, agentic workflows, Retrieval-Augmented Generation (RAG), and automation frameworks
• Strategic and analytical mindset with the ability to architect solutions that extend beyond immediate requirements toward sustainable team and organizational capability development
• Substantive experience designing and implementing data-driven applications and enterprise workflows
• Prior experience in a team leadership or technical mentorship capacity, particularly relevant given the trajectory toward heading the AI² initiative
• Expert-level proficiency in English, both written and verbal