Databricks Gen AI

Role: Generative AI Engineer Databricks

Experience: 2-5 Years

Employment Type: Full-Time

Job Summary:

We are looking for a Generative AI Engineer with hands-on experience in Databricks and a strong background in Data Engineering. The ideal candidate should have expertise in building AI-driven applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable data pipelines. Experience working with Databricks, PySpark, cloud platforms, and modern AI frameworks is highly preferred.

Key Responsibilities:

• Design, develop, and deploy Generative AI applications using Databricks and cloud platforms.
• Build and optimize RAG-based solutions leveraging vector databases and enterprise data sources.
• Develop scalable data pipelines using Databricks, PySpark, and Python.
• Fine-tune, evaluate, and integrate LLMs into business applications.
• Work with structured and unstructured datasets to support AI/ML use cases.
• Implement prompt engineering, model evaluation, and AI governance best practices.
• Develop APIs and microservices for AI model integration.
• Collaborate with Data Engineers, Data Scientists, and Business stakeholders to deliver AI solutions.
• Monitor model performance, latency, and scalability in production environments.
• Follow MLOps best practices for model deployment, experimentation, and monitoring.