Azure Databricks Engineer (Agentic AI)
Bradsol (Brad Contech Solutions Private Limited) (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 10–20 LPA
Posted 23h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain batch and streaming data pipelines using PySpark, Delta Lake, and related Azure Databricks technologies for AI/ML applications.
- Develop and deploy retrieval-augmented generation (RAG) and LLM agents using Mosaic AI Agent Framework, LangChain, and connect with foundation models via Azure OpenAI and Databricks Model Serving.
- Manage LLMOps including model and agent versioning, production deployment and monitoring, cost optimization, and collaboration with solution architects and business users for agent integration.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering or related field.
- Approximately 3 years of data or ML engineering experience, with at least 1.5 years working in production on Azure Databricks.
- Proficiency in Python, PySpark, SQL, Delta Lake, Unity Catalog, Databricks Workflows, and MLflow.
- Experience delivering at least one GenAI project involving RAG, embeddings, vector search, or LLM agents in production or pilot.
Ideal Candidate Profile
- Experienced with agent frameworks like Mosaic AI Agent Framework, LangChain/LangGraph, and prompt engineering with tool/function calling.
- Familiar with Azure data services (ADLS Gen2, Azure Data Factory, Key Vault, Azure OpenAI) and CI/CD tools (Git, Terraform/Bicep, Azure DevOps or GitHub Actions).
- Operates effectively in production ML/AI environments involving end-to-end data engineering, agent deployment, and client-facing technical collaboration.