Ingénieur.e support technique H/F
Core
Build and optimize SAIA, a cloud-based support and diagnostic platform for connected STB devices using LLMs and agent systems.
Role type
Senior IC machine-learning engineer (LLM agents & diagnostics)
Builds
Production ML models | product features
Domain
Telecoms + embedded systems + AI
Deliverable
production ML models
Required skills
LLMs, machine learning, prompt engineering, agent workflows, data analysis, C/C++, Linux embedded, network protocols (TCP/IP, Wi-Fi), Python, PostgreSQL
Preferred skills
Real-time systems, embedded Linux (Buildroot), cross-compilation, driver management, Jira
Technologies
LLMs, ReAct, MCP, A2A, Python, C/C++, Linux, Git, CI/CD, PostgreSQL
Responsibilities
Analyze SAIA session data to improve diagnostic quality; Evaluate and optimize LLM agent performance; Create dashboards and reports; Build datasets and evaluation tools for LLMs; Collaborate with Backend and Data teams; Execute automated tests and server monitoring; Support US clients with bug fixes and incident management; Manage daily handover with France R&D team
