DEV738 - Senior AI Engineer - Gretel De Paepe

The Role: Architecting Enterprise Intelligence

You will move beyond basic prototypes to build production-ready AI features within a major enterprise data platform. This position isn't just about prompt engineering; it involves creating sophisticated 'agent loops' with checkpointing and state management to help global organizations trust their AI outputs. You will ensure that LLMs have the necessary business context to reason accurately while maintaining strict security and governance standards.

Tech Stack & Agentic Workflow

This position is a playground for those who love modern AI orchestration and high-leverage development. Key aspects of the role include:

• Agentic Systems: Building autonomous cycles using LangGraph, MCP, and sandboxed code execution.
• Advanced RAG: Implementing hybrid semantic searches and rank fusion for high-precision data retrieval.
• Production Python: Utilizing Pydantic v2 and LangChain to create scalable, stateless services.
• Observability: Developing rigorous evaluation frameworks to monitor agent trajectories and tool-calling behavior.

Growth and Impact

Joining a team of data scientists and MLOps experts, you will lead the transition from simple chatbots to autonomous enterprise agents. You will have the opportunity to shape a platform that defines how the world’s largest agencies interact with their data, all while using AI-assisted development as a primary force multiplier. It is a high-impact role where your ability to navigate the AI ecosystem translates directly into reliable, world-class software.