AI Engineer (Gen AI, Databricks)

Infosys; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Infosys is seeking a GenAI + Databricks Engineer with hands-on experience in Data Engineering and Generative AI solutions. You will build scalable data pipelines using Databricks, Spark, and PySpark, and develop AI use cases across cloud platforms.

You will collaborate with Data Scientists and engineers to deploy LLM-driven workflows, implement RAG architectures, ensure data quality, governance and security, and optimize AI workloads at scale in a enterprise environment.

Qualifications

• 2-5 years of experience in Data Engineering and/or GenAI.
• Experience with Databricks and PySpark.
• Strong Python and SQL skills.
• Knowledge of data pipelines, ETL/ELT, and Delta Lake.
• Familiarity with GenAI, LLMs and RAG architectures.

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.

Skills

Databricks

PySpark

Python

SQL

Data Pipeline Development

ETL/ELT Development

Delta Lake

Data Warehousing Concepts

Generative AI

LLMs

RAG Frameworks

Vector Databases

Git

Education

Bachelor of Engineering,BTech

Tools

Kafka

Airflow

Snowflake

DBT

MLflow

LangChain

LangGraph

Docker

Job description

Job Description

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.

Roles 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 Requirement

• Gen Ai + Databricks (with Data Engineering exp is preferred)

Additional Responsibility 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

Educational Requirement

• Bachelor of Engineering,BTech

Preferred Skills

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

Service Line

• Data Analytics Unit