Gen AI Engineer

Minimum qualifications BS/MS in computer science, Electrical Engineering, Data Science, or a related technical field; or equivalent practical experience. 3?5 years of experience in AI/ML engineering, data engineering, or applied data science delivering production-grade solutions. Strong Python and SQL skills; mastery working with large-scale telemetry/time-series datasets and building reliable, testable data transformations. Hands-on experience with Azure services for data/AI solutions, including: Azure Machine Learning; Azure AI Services/Azure OpenAI (LLM/GenAI capabilities) Azure Databricks/Spark (Delta Lake, lakehouse patterns) Azure Data Lake Storage / Blob Storage Azure Functions or similar serverless compute Azure DevOps (or similar CI/CD tooling), Git, and automated testing Working knowledge of GenAI development patterns, including: Retrieval-Augmented Generation (RAG): chunking strategies, embeddings, hybrid search, re-ranking, grounding with citations, vector stores (e.g., Azu...