SDE III - Python

Job Summary

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:

1. LlamaIndex

2. LangChain

3. LangGraph

4. 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.).