Full-Stack Python Developer | Optimize LLM API Responses (OpenAI + FastAPI + SaaS)

We are working on a SaaS application that uses OpenAI (LLMs) through a Python FastAPI backend, connected to a Next.js frontend. The system generates AI-based responses for user queries, but we are facing issues with response quality, latency, and consistency. Some outputs are either too slow, inconsistent in formatting, or not aligned with expected results in the frontend application. We need an experienced Python developer to optimize the LLM integration layer and improve the overall reliability of the AI response pipeline. Scope of Work * Debug and optimize OpenAI API calls inside FastAPI backend • Improve LLM prompt structure for more consistent and relevant outputs • Reduce response latency for AI-generated results • Fix formatting issues in AI responses displayed on Next.js frontend • Ensure stable communication between frontend, backend, and LLM service • Test end-to-end AI workflow (user input → API → LLM → UI output) Technical Stack * Python (FastAPI backend) • OpenAI API (GPT-based LLM integration) • Next.js / React frontend • REST APIs • JSON-based response handling • Git version control Deliverables * Optimized LLM response pipeline • Improved response speed and consistency • Clean and structured AI output format for frontend • Stable API integration between backend and frontend • Verified working AI flow across the system