Data Test Engineer – Intelligence Artificielle
Core
Validate performance, efficiency, and robustness of AI models (RAG, autonomous agents, LLMs) while ensuring responsible and ethical aspects.
Role type
Data Test Engineer (AI/GenAI)
Builds
Production AI models and evaluation frameworks
Domain
Artificial Intelligence / Generative AI
Deliverable
production ML models
Required skills
Python, Pandas, NumPy, RAG, Prompt Engineering, Agentique, LLM, Agile Testing, ISTQB, Giskard, RAGAS, Deep-Eval
Preferred skills
Data/IA acculturation (GenAI and non-GenAI), LangChain, LangGraph
Technologies
Python, Pandas, NumPy, LangChain, LangGraph, Giskard, RAGAS, Deep-Eval
Responsibilities
Collaborate with product and data teams to align test results with business needs; Develop test approaches, scenarios, and validation plans covering functional, non-functional, and security aspects; Implement test processes and tools for AI use cases; Track and share quality KPIs; Industrialize AI testing practices; Maintain technology watch on AI testing frameworks and methodologies.
Seniority
Mid-level (3+ years experience)