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.
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
Gen Ai + Databricks (with Data Engineering exp is preferred)
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
Source: Infosys careers — Read the original posting and apply
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