Senior Data Software Engineer with ML and RAG, AI Data Platform

Бенгалуру

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Project overview

This project focuses on designing and building a cloud based platform that enables intelligent data processing and knowledge discovery. The solution integrates vector search, knowledge graphs, and retrieval augmented generation to deliver advanced AI capabilities across multiple business use cases.

Team

You will work in a distributed engineering team that includes data engineers, backend developers, and ML engineers. The team follows a collaborative approach with regular knowledge sharing and close interaction with stakeholders across time zones.

Position overview

We are looking for a Data Software Engineer with a strong focus on machine learning and modern data architectures to join a long term AI driven platform initiative. You will work on building scalable data pipelines and intelligent services powered by large language models and advanced data retrieval techniques. This role includes opportunities for both strong middle and senior specialists.

Standard Working Hours: Standard India shift from 10:00 AM to 7:00 PM IST. This schedule ensures a 3 hour overlap with AEST for ANZ collaboration and a 5 hour overlap with GMT for UK collaboration.

Technology stack

Python, Azure infrastructure, Azure AI Services, ETL pipelines, serverless microservices, vector databases, knowledge graphs, retrieval augmented generation architecture, large language models, prompt engineering

Responsibilities

Develop and maintain scalable ETL pipelines for structured and unstructured data
Design and implement serverless microservices using cloud native patterns
Build and optimize data solutions using vector databases and knowledge graphs
Collaborate with ML engineers to integrate large language model capabilities into production systems
Implement retrieval augmented generation pipelines for advanced AI use cases
Work with Azure AI Services to deliver reliable and scalable solutions
Ensure code quality through testing, code reviews, and adherence to engineering standards
Collaborate with distributed teams and participate in technical discussions across time zones

Requirements

Experience in Python development for backend or data engineering tasks
Hands on experience with ETL pipeline design and implementation
Familiarity with Azure infrastructure and cloud native services
Understanding of microservices architecture and serverless computing
Experience working with vector databases and data indexing solutions
Knowledge of retrieval augmented generation and knowledge graph concepts
Experience integrating or working with large language models
Practical experience with prompt engineering
English proficiency sufficient for daily communication in an international team

Nice to have

Experience with Azure AI Services in production environments
Exposure to distributed system design and scalability patterns
Knowledge of data governance and data quality practices
Experience working in globally distributed teams

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