SDE III - Python Engineer

Aurigait

Jaipur

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

Aurigait is looking for a highly experienced SDE III – Python in Jaipur, India. The ideal candidate will have strong expertise in backend engineering with a focus on integrating AI and LLM-based features into scalable systems.

You will be responsible for working with cross-functional teams, developing robust backend applications, and ensuring high-quality code practices. Candidates with 5+ years of experience in Python, Django/DRF, and cloud services (AWS/Azure/GCP) are preferred. Join us to innovate and excel in AI-driven projects.

Qualifications

  • 5+ years of hands-on experience in Python backend development.
  • Strong experience with Django/DRF, FastAPI, or Flask.
  • Experience with one cloud provider – AWS / Azure / GCP.
  • Solid understanding of relational databases (PostgreSQL/MySQL).
  • Strong fundamentals in OOP, data structures, algorithms.

Responsibilities

  • Integrate AI APIs and LLM-based features into backend services.
  • Develop retrieval pipelines and embedding workflows.
  • Build and maintain backend applications using Django + DRF / FastAPI / Flask.
  • Design secure, scalable, and reusable REST APIs.
  • Troubleshoot issues and optimize performance.

Skills

Python backend development
Django/DRF
FastAPI
AWS/Azure/GCP
LangChain
LangGraph
Google ADK
PostgreSQL/MySQL
Git
Linux/Unix

Tools

Postman
Docker
Kubernetes

Job description

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
  • 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.
  • 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.
  • 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.
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:
    • 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.).
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