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.).