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AI Engineer For this role, we are specifically looking for AI Data Engineers , so strong and demonstrable data engineering experience is a key requirement , in addition to AI and LLM expertise. IA agentive and LLMs Fluent English is a MUST. Experience building autonomous multi-step agents using LangGraph, LangChain or equivalent frameworks. Design of custom tools ( tool calling ) that expose APIs and data sources to an LLM in a structured manner. Prompt engineering focused on deterministic tasks, including output formatting, interpretation rules, temperature control, and model parameter tuning. Integration with model-serving endpoints ( Databricks Model Serving, Azure OpenAI, Anthropic, or others ), including rate-limit management and error handling Data Engineering Databricks: Experience with notebooks, widgets, Unity Catalog (including Volumes), and Delta Lake. Python: Experience with libraries such as pandas and openpyxl , as well as modular code development. PySpark (production level): Reading and writing Delta tables, schema management, and data processing at scale. Design and implementation of batch ingestion and data processing pipelines .