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.).

SDE III - Python Engineer