SDE III - Python Engineer

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

1. 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.

2. 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.

3. 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.

4. 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).

5. 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.).