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.
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Integrate AI APIs and LLM-based features into backend services.
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Work with modern AI tools/frameworks such as LlamaIndex, LangChain, LangGraph, Google ADK.
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Develop retrieval pipelines, embedding workflows, and lightweight agent systems.
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Support experimentation and optimization of AI-driven components.
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Build and maintain backend applications using Django + DRF / FastAPI / Flask.
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Design secure, scalable, and reusable REST APIs.
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Work with microservices, background tasks, and basic caching layers.
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Ensure reliable system architecture aligned with business needs.
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Analyze complex requirements and propose effective backend solutions.
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Troubleshoot issues, optimize performance, and enhance system robustness.
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Apply best practices for logging, monitoring, and debugging.
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Work closely with product managers, frontend engineers, QA, and DevOps teams.
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Participate in sprint planning, estimations, code reviews, and design discussions.
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Write clear and comprehensive technical documentation (APIs, workflows, modules).
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Write high-quality, maintainable, and testable code.
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Create and run unit and integration tests.
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Support and improve CI/CD pipelines and environment configurations.
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Maintain API documentation using Swagger/OpenAPI.
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5+ years of hands-on experience in Python backend development.
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Strong experience with Django/DRF, FastAPI, or Flask.
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Mandatory: Experience with one cloud provider — AWS / Azure / GCP.
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Experience integrating LLM-based or AI-driven features using:
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LlamaIndex
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LangChain
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LangGraph
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Google ADK
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Solid understanding of relational databases (PostgreSQL/MySQL) and familiarity with NoSQL (Redis/MongoDB).
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Strong fundamentals in OOP, data structures, algorithms, and clean coding practices.
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Hands-on experience with Git, Linux/Unix systems, and API testing tools (Postman).
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Proven ability to understand requirements and deliver production-ready features.
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Experience with Celery, RabbitMQ, Kafka.
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Knowledge of Docker, Kubernetes, and CI/CD pipelines.
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Exposure to frontend frameworks like React / Angular.
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Strong debugging and performance optimization skills.
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Familiarity with cloud-native services (S3, Lambda, Cloud Functions, Pub/Sub, etc.).
