Databricks Gen AI Engineer

• Experience with Databricks GenAI , including Model Serving, Vector Search, and embedding workflows.
• Strong command of Databricks Lakehouse (Clustering, Unity Catalog, Delta Lake).
• Knowledge of LLMs , embeddings (OpenAI/Azure OpenAI), and GenAI app patterns (RAG / Agents).
• 45 years of hands-on experience in Python , PySpark , and Data Engineering .
• Proficiency in SQL, Spark performance tuning, and distributed computing.
• Strong understanding of cloud platforms (Azure preferred).
• Experience with CI/CD using Azure DevOps, GitHub Actions, or similar tools.

Good to Have

• Familiarity with React.js for developing simple UI modules.
• Experience with MLflow for model tracking.
• Exposure to metadata-driven frameworks or automation-based accelerators.
• Understanding of MLOps and orchestration tools (Airflow, ADF, DB Workflows).
• Knowledge of Lakehouse security and governance concepts.