AI Engineer (Gen AI, Databricks)

We are looking for a GenAI + Databricks Engineer with hands-on experience in Data Engineering and Generative AI solutions. The ideal candidate should have expertise in building scalable data pipelines, working with Databricks, Python, and cloud platforms, while enabling AI/LLM-based use cases for business applications. Responsibilities Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks. Build and optimize ETL/ELT workflows for structured and unstructured data. Develop and deploy Generative AI solutions using LLMs. Implement RAG (Retrieval-Augmented Generation) architectures and vector databases. Work with large-scale datasets using Spark and PySpark. Integrate AI solutions with cloud services and enterprise applications. Collaborate with Data Scientists, Data Engineers, and business stakeholders. Monitor, troubleshoot, and optimize data and AI workloads. Ensure data quality, governance, and security standards. Mandatory Skills 2-5 years of experience in Data Engineering and/or GenAI Databricks PySpark / Apache Spark Python SQL Data Pipeline Development ETL/ELT Development Delta Lake Data Warehousing Concepts Generative AI LLMs (OpenAI, Azure OpenAI, Llama, Claude, etc.) RAG Frameworks Vector Databases Git Technical requirements Gen Ai + Databricks (with Data Engineering exp is preferred) Additional responsibilities Preferred Skills Azure Databricks or AWS Databricks LangChain / LangGraph Azure OpenAI MLflow Kafka Airflow Snowflake DBT Knowledge of MLOps concepts Good to Have Prompt Engineering Agentic AI Semantic Search REST APIs Docker CI/CD Exposure Education Bachelor of Engineering,BTech