Roles & Responsibilities

- Develop and maintain Python-based backend applications using Django, FastAPI, and/or Flask.
- Build and integrate AI/ML and Generative AI capabilities into applications.
- Develop REST APIs and backend services using FastAPI, Flask, or Django REST Framework.
- Integrate LLMs such as OpenAI, Anthropic, Gemini, or open-source models into production applications.
- Build AI features such as:
- RAG (Retrieval-Augmented Generation)

- Chatbots and AI assistants

- Document processing and summarization

- Semantic search

- Text classification and extraction
- AI-powered automation
- Work with LLM frameworks and tools such as LangChain, LlamaIndex, or equivalent technologies.
- Design and work with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, or Redis.




- Develop scalable, secure, and high-performance backend services.
- Integrate third-party APIs and AI services.
- Write clean, reusable, maintainable, and well-tested Python code.
- Implement authentication, authorization, API security, logging, and error handling.
- Containerize applications using Docker and support deployment to cloud environments.
- Collaborate with frontend developers, data scientists, DevOps engineers, and product teams.
- Monitor and troubleshoot production applications and AI services.
- Write technical documentation and API documentation.

📌 python AI Engineer (Bengaluru)
🏢 CGI
📍 Bengaluru