About the role
Key Responsibilities1. 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.
- 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.
- 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).
- 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.).