What are the responsibilities and job description for the Full Stack Product Engineer- (Azure, React, Python, RAG) position at Saviance Technologies?
Job Description
Job Description
Job Title : Full Stack Product Engineer- (Azure, React, Python, RAG)
Location : India
Job Type : Full time and Part time roles available
Job Summary :
We are seeking an experienced and expert level Full Stack Software Product Engineer with
expertise in Azure Cloud, Azure security, React, and Python Backend to support a cutting-
edge Retrieval-Augmented Generation (RAG) project. The engineer will be responsible for
cloning and running the latest Azure repository version for RAG, integrating our modifications,
and ensuring that new Azure bug fixes and features are inherited while maintaining custom
enhancements.
Key Responsibilities :
Maintain the current application
Clone and deploy the latest Azure RAG repository, ensuring compatibility with existing modifications.
Implement and maintain Azure security best practices across the cloud infrastructure.
Enhance and modify RAG functionality to focus on specific sections (e.g., Legal, Customer A, etc.).
Develop and integrate the React-based frontend with the Python backend to support RAG functionalities.
Ensure the smooth inheritance of new Azure bug fixes and features while maintaining our custom modifications.
Utilize available KT (Knowledge Transfer) recordings and resources to quickly get up to speed.
Optimize and troubleshoot issues related to Azure resources, security, and performance.
Required Skills & Qualifications :
3 years of experience with Azure Cloud, including security best practices.
Strong expertise in React.js for front-end development.
Proficiency in Python for backend development, including API integrations.
Experience with RAG (Retrieval-Augmented Generation) architectures is a plus.
Hands-on experience with Azure DevOps, CI / CD, and Infrastructure-as-Code (IaC) is
desirable.
Ability to work with existing Azure repositories and integrate custom modifications
effectively.
Strong problem-solving skills and ability to work independently.
Nice to Have :
Familiarity with LLMs, AI / ML pipelines, or NLP related to RAG.
Experience working with Azure AI services and cognitive search capabilities.
Previous experience working with legal or customer-focused AI solutions
