Immediate hiring || Onsite in Pune/Ahmedabad || Full Time
About the job:
Title – Databricks and GenAI Roles (Engineer)
Start date: Immediate
Position Type: Full Time
Location: Ahmedabad or Pune
Job Description: Databricks AI/ GenAI Enterprise Engineer
Role Overview
We are seeking a Databricks AI Engineer to build and scale enterprise AI applications on the lakehouse using Databricks. This role focuses on developing data-centric, production-grade GenAI and agentic systems tightly integrated with enterprise data, analytics, and ML pipelines.
Key Responsibilities
Build and deploy GenAI applications using Databricks (Delta Lake, MLflow, Unity Catalog)
Design and implement Retrieval-Augmented Generation (RAG) using enterprise data in the lakehouse
Develop agentic workflows that combine LLMs with data pipelines, SQL, and notebooks
Use Mosaic AI for model development, fine-tuning, evaluation, and deployment
Engineer scalable data pipelines and feature pipelines for AI workloads
Integrate structured and unstructured data for AI use cases (documents, logs, tables)
Build evaluation, monitoring, and observability pipelines using MLflow
Ensure governance, lineage, and data security using Unity Catalog
Required Skills & Experience
2 to 4 years of experience with Databricks platform (Delta Lake, Spark, MLflow)
Proficiency in Python, SQL, and distributed data processing
Experience with RAG architectures, embeddings, and vector search
Understanding of LLM integration with enterprise data systems
Familiarity with data engineering + ML engineering convergence
Preferred Qualifications
Experience with Mosaic AI (fine-tuning, evaluation, model serving)
Exposure to agentic AI systems built on top of data platforms
Experience with real-time data pipelines and streaming (Structured Streaming)