python AI Engineer

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.