SDE III - Python Engineer

Auriga IT; Jaipur; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Auriga IT is looking for an experienced SDE III – Python to build scalable backend systems and integrate AI/LLM-based features. You will work with Django/DRF or FastAPI, deploy on cloud platforms, and collaborate with cross-functional teams to deliver production-grade applications.

You will design secure REST APIs, implement microservices, and contribute to CI/CD, logging, monitoring, and robust testing. Strong Python and AI tooling skills are essential for success in this role.

Qualifications

• 5+ years of Python backend development experience.
• Strong experience with Django/DRF, FastAPI, or Flask.
• Mandatory cloud experience: AWS / Azure / GCP.
• Experience integrating LLM-based features using AI frameworks.
• Solid relational DB (PostgreSQL/MySQL) and NoSQL (Redis/MongoDB).
• Strong OOP, data structures, algorithms, and clean coding.
• Hands-on Git, Linux/Unix, and API testing (Postman).
• Proven ability to deliver production-ready features.

Responsibilities

• AI & Engineering: integrate AI APIs and LLm features into backend.
• Develop retrieval pipelines, embedding workflows, lightweight agents.
• Build backend apps with Django/DRF or FastAPI, design REST APIs.
• Work with microservices, background tasks, caching, logging, monitoring.
• Collaborate with product, frontend, QA and DevOps; participate in planning.
• Write clear API docs; contribute to CI/CD and environment config.

Skills

Python backend development

Django/DRF

FastAPI/Flask

Cloud (AWS/Azure/GCP)

LLM/AI feature integration

Git

Linux/Unix

API testing (Postman)

Tools

LlamaIndex

LangChain

LangGraph

Google ADK

PostgreSQL

MySQL

Redis

MongoDB

Docker

Kubernetes

Swagger/OpenAPI

Postman

Job description

Job Summary

Auriga IT is seeking a highly experienced SDE III – Python with strong backend engineering expertise, cloud experience, and practical exposure to integrating AI/LLM-based features. In this role, you will build scalable backend systems, work with modern AI frameworks, and collaborate with cross-functional teams to deliver reliable, production-grade applications.

Key Responsibilities

• AI & Engineering
• Integrate AI APIs and LLM-based features into backend services.
• Work with modern AI tools/frameworks such as LlamaIndex, LangChain, LangGraph, Google ADK.
• Develop retrieval pipelines, embedding workflows, and lightweight agent systems.
• Support experimentation and optimization of AI-driven components.
• Backend Architecture & Development
• Build and maintain backend applications using Django + DRF / FastAPI / Flask.
• Design secure, scalable, and reusable REST APIs.
• Work with microservices, background tasks, and basic caching layers.
• Ensure reliable system architecture aligned with business needs.
• Problem Solving & Performance
• Analyze complex requirements and propose effective backend solutions.
• Troubleshoot issues, optimize performance, and enhance system robustness.
• Apply best practices for logging, monitoring, and debugging.
• Collaboration & Ownership
• Work closely with product managers, frontend engineers, QA, and DevOps teams.
• Participate in sprint planning, estimations, code reviews, and design discussions.
• Write clear and comprehensive technical documentation (APIs, workflows, modules).
• Quality & Delivery
• Write high-quality, maintainable, and testable code.
• Create and run unit and integration tests.
• Support and improve CI/CD pipelines and environment configurations.
• Maintain API documentation using Swagger/OpenAPI.

Required Qualifications

• 5+ years of hands-on experience in Python backend development.
• Strong experience with Django/DRF, FastAPI, or Flask.
• Mandatory: Experience with one cloud provider — AWS / Azure / GCP.
• Experience integrating LLM-based or AI-driven features using:
• LlamaIndex
• LangChain
• LangGraph
• Google ADK
• Solid understanding of relational databases (PostgreSQL/MySQL) and familiarity with NoSQL (Redis/MongoDB).
• Strong fundamentals in OOP, data structures, algorithms, and clean coding practices.
• Hands-on experience with Git, Linux/Unix systems, and API testing tools (Postman).
• Proven ability to understand requirements and deliver production-ready features.

Nice to Have

• Experience with Celery, RabbitMQ, Kafka.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines.
• Exposure to frontend frameworks like React / Angular.
• Strong debugging and performance optimization skills.
• Familiarity with cloud-native services (S3, Lambda, Cloud Functions, Pub/Sub, etc.).