Senior Python Engineer – Azure & Generative AI (LLM/RAG)

SWITS DIGITAL Private Limited; Hyderabad; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

SWITS DIGITAL Private Limited is seeking a Senior Data Engineer in Hyderabad with strong Python backend development experience and solid Azure cloud knowledge. The role focuses on building scalable backend applications, REST APIs, and AI-powered solutions using LLMs, RAG, and tool/function calling.

You will design, develop, and maintain microservices, implement CI/CD, and collaborate with cross-functional teams to deliver secure, scalable software. Immediate joining preferred.

Qualifications

• 5–7 years of Python/backend/data engineering experience.
• Strong Python skills with Flask/Quart experience.
• Experience designing REST APIs.
• Knowledge of LLMs, RAG, prompt engineering, tool/function calling, and AI agents.

Responsibilities

• Design, develop, test, and maintain scalable Python applications (Flask/Quart).
• Build and integrate RESTful APIs for backend/AI-powered services.
• Develop and integrate solutions using LLMs, RAG, tool calling, AI agents.

Skills

Python development

Flask or Quart

REST APIs

LLMs & RAG

Azure

Microservices

CI/CD

GitHub

Data integration

Testing frameworks

AI-assisted development tools

Cross-functional collaboration

Tools

Flask

Quart

GitHub

Job description

Senior Data Engineer Python, Azure & Generative AI

Experience: 5 7 Years

Job Location: Hyderabad

Notice Period: Immediate Joiners Only

Job Summary

We are seeking a skilled Senior Data Engineer with strong Python development expertise, experience in Microsoft Azure, and working knowledge of Generative AI technologies. The ideal candidate will have hands‑on experience developing scalable backend applications, building REST APIs, integrating Large Language Models (LLMs), and implementing AI‑powered solutions using Retrieval‑Augmented Generation (RAG), tool/function calling, and AI agents.

Key Responsibilities

• Design, develop, test, and maintain scalable Python applications using Flask or Quart.
• Build and integrate RESTful APIs for backend services and AI‑powered applications.
• Develop and integrate solutions using LLMs, Retrieval‑Augmented Generation (RAG), tool/function calling, and AI agents.
• Implement and support cloud‑based applications using Microsoft Azure and related cloud services.
• Design and develop microservices‑based applications and asynchronous processing workflows.
• Build and maintain CI/CD pipelines using GitHub and associated development tools.
• Develop and support data integration and synchronization solutions between cloud and on‑premises environments.
• Implement unit testing, integration testing, and automated testing to ensure application quality and reliability.
• Use AI‑assisted development tools to improve coding, debugging, testing, and technical documentation.
• Collaborate with cross‑functional teams to deliver secure, scalable, and maintainable software solutions.
• Troubleshoot application issues and contribute to performance optimization and continuous improvement.

Required Skills And Qualifications

• 5 7 years of experience in Python development, backend engineering, or data engineering.
• Strong programming skills in Python, with hands‑on experience in Flask or Quart.
• Experience designing and developing REST APIs.
• Working knowledge of LLMs, RAG, prompt engineering, tool/function calling, and AI agent development.
• Experience with Microsoft Azure and cloud application architecture.
• Understanding of microservices architecture and asynchronous programming.
• Hands‑on experience with GitHub, version control, and CI/CD pipelines.
• Experience integrating and synchronizing data across cloud and on‑premises environments.
• Good understanding of unit testing, integration testing, and automated testing frameworks.
• Familiarity with AI‑assisted development tools for software engineering tasks.

Preferred Qualifications

• Experience building and deploying LLM‑powered applications in cloud environments.
• Familiarity with Azure AI services and Azure‑based application deployment.
• Knowledge of API security, application monitoring, logging, and performance optimization.
• Experience working in Agile development environments.