Skills We Are Looking For

About the Role

Are you passionate about building next-generation AI solutions powered by Large Language Models (LLMs)

We are looking for a Senior GenAI & Databricks Developer to join our growing team and play a pivotal role in designing, developing, and deploying enterprise-scale AI solutions. This role combines Generative AI expertise with modern Data Engineering capabilities, enabling organizations to unlock the full potential of AI-driven innovation.

If you have strong hands-on experience in GenAI, Azure Databricks, PySpark, SQL, and ETL development, and enjoy solving complex business problems through technology, we'd love to hear from you.

Key Responsibilities

Design, develop, and deploy Generative AI (GenAI) solutions using Large Language Models (LLMs).
Build intelligent applications leveraging GenAI frameworks, prompt engineering, and AI orchestration techniques.
Develop and maintain scalable data pipelines using Azure Databricks, PySpark, and SQL.
Design and implement robust ETL/ELT processes for structured and unstructured data.
Integrate GenAI applications with enterprise data platforms and business systems.
Work with large-scale datasets to support AI model training, fine-tuning, and inference workloads.
Optimize Databricks notebooks, jobs, and clusters for performance and cost efficiency.
Collaborate with business stakeholders, architects, and cross-functional teams to translate requirements into technical solutions.
Ensure data quality, governance, security, and compliance standards are maintained.
Troubleshoot production issues and provide ongoing support for deployed AI and data solutions.
Stay current with emerging trends and advancements in Generative AI, LLMs, and cloud technologies.

Mandatory Skills

8–10 years of overall IT experience.
Strong hands-on experience in Generative AI (GenAI) application development.
Experience working with Large Language Models (LLMs) and AI-powered solutions.
Strong expertise in Azure Databricks.
Hands-on experience with PySpark development.
Advanced proficiency in SQL and database optimization.
Strong experience in developing and maintaining ETL/ELT pipelines.
Experience working with Azure Data Lake, Azure Storage, and Azure Data Factory.
Strong understanding of data engineering concepts, data modeling, and big data processing.
Experience with Git-based version control and Agile development methodologies.