About the Role
As an AI Engineer at Orange, I work at the forefront of Generative AI and agentic systems, developing production-ready solutions in an environment of uncertainty and rapid innovation. My role combines technical excellence with business understanding, constantly engaging with stakeholders to define project scope and address business cases.
Key Achievements
- Agentic Systems: Developed sophisticated agentic flows for task automation using Model Context Protocol (MCP) servers
- MLOps Excellence: Built comprehensive MLOps pipelines in GCP covering the entire ML lifecycle from training to monitoring
- Infrastructure as Code: Created and maintained Terraform modules for cloud-native AI infrastructure
- LLMOps Governance: Implemented enterprise-grade governance including prompt versioning, budget control, and role-based access control
- Internal Platforms: Developed and maintained internal platforms for monitoring, alerting, and budget automation
Technical Leadership
Established best practices for agentic development and AI architecture in a state-of-the-art GenAI environment. Worked with Agile Kanban methodology, providing continuous value delivery while maintaining close collaboration with business teams.
Technical Stack
Full-stack AI development with modern frameworks including LangGraph for agentic flows, GCP for cloud infrastructure, Terraform for IaC, and multi-provider LLM access through Azure, GCP, OpenAI, and LiteLLM.