Fullstack Python Developer

Pradeepit Global Consulting Private Limited; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Pradeepit Global Consulting Private Limited seeks a Fullstack Python Developer (GenAI) to build and maintain web apps using Python and React in Bangalore/Pune/Gurgaon. The role involves integrating diverse data into a vector database for RAG workflows and advancing GenAI capabilities with LLMs and agents.

The ideal candidate has hands-on experience with AI/ML, embeddings, and prompt engineering, plus strong Git, CI/CD, and Azure services.

Qualifications

• Experience developing applications using data, AI/ML, and web tech with Python and React.
• Experience with development using LLMs.
• Good understanding of RAG frameworks, embeddings, and Agents.
• Knowledge of prompt engineering and function calling.
• Familiarity with Git, testing, and CI/CD practices.
• Familiarity with Azure services like Azure Search, App Services, API Management, RBAC, VNet, VM, Cosmos DB.

Responsibilities

• Develop and maintain web applications using React and Python.
• Integrate structured and unstructured data into a vector DB for a RAG system.
• Develop complex GenAI applications including chatbots and Agent integration.
• Build auditing to monitor usage, security, and cost efficiency.
• Create data pipelines to ingest data from diverse sources.
• Optimize GenAI apps for performance, scalability, and reliability.

Skills

Python

React

Azure

GenAI

AI/ML

LLMs

Prompt engineering

CI/CD

Git

RAG

Tools

Azure Cosmos DB

Azure App Services

Azure API Management

RBAC

VNet

Job description

Fullstack Python Developer (GenAI) Mandatory Skills : Python + React + Azure + GenAI / AI-ML exp Notice period: Immediate/20 days Location: Bangalore/ Pune/ Gurgaon

Responsibilities

• Develop and maintain web applications using React and Python
• Integrate disparate structured and unstructured datasets and documents into a vector database for an effective RAG system
• Ability to develop complex applications in LLM, including developing chatbots and integration with Agents
• Build an auditing system for monitoring usage, ensuring security and cost efficiency.
• Build a robust data pipeline system to ingest and manage data from various sources.
• Optimize GenAI applications for enhanced performance, scalability, and reliability.

Required skill set

• Experience in developing applications using data, AI/ML, web technologies using Python and React
• Experience with development using LLMs.
• Good understanding of RAG frameworks, embeddings and Agents.
• Technical know-how of effective prompt engineering, function calling etc.,
• Familiarity with software development best practices, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD).
• Familiarity with various Azure services such as Azure Search, App Services, API Management, RBAC, VNet, resources, VM, Cosmos DB, etc.

Nice to have

• Integrate generative models or applications into existing systems and workflows seamlessly.
• Evaluate and implement leading data anonymization and PII detection techniques.
• Knowledge of Agentic frameworks.