Description

Key Responsibilities

 

• Design and develop AI-powered full stack applications using Python (backend) and React (frontend).
• Build and maintain agentic frameworks and LLM pipelines using tools like LangChain, LlamaIndex, or custom implementations.
• Integrate generative AI APIs (OpenAI, Anthropic Claude, Gemini, etc.) into scalable web applications.
• Develop RESTful and GraphQL APIs to connect AI backends with React frontends.
• Implement RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone, Weaviate, ChromaDB).
• Build and optimize prompt engineering workflows and evaluation pipelines.
• Collaborate with product, design, and data science teams to ship AI features end-to-end.
• Write clean, testable, and well-documented code.
• Monitor, debug, and optimize AI model performance in production.
• Stay current with the rapidly evolving generative AI landscape

Key Skills

Education

Bachelor's degree