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

Preferred skills

Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->Data Engineering->Databricks

Education

Bachelor of Engineering,BTech