AI Chat System Development : Enhance and optimize AI-driven chat infrastructure with a focus on high performance and relevance.
Context Management : Design strategies for historical context selection and injection into prompts to improve the quality and relevance of AI responses.
Core Component Implementation : Build chat history storage and retrieval systems using SQL and vector databases (e.g., FAISS, Pinecone, etc.).
Session Management : Develop and manage robust chat session handling including session lifecycle, continuity, and scalability.
Performance Optimization : Identify and implement improvements to reduce latency and increase overall system efficiency.
Skills and experience required :
Expert in AI chat systems to help enhance and optimize our existing chat infrastructure
Competent in implementing core components such as chat history storage and retrieval using SQL and vector databases
Experience in improving session management, context injection, and system performance.
Designing and managing robust chat session handling, including lifecycle management and session continuity.
Enhancing strategies for selecting and injecting relevant historical context into AI model prompts to improve response quality.
Optimizing system performance to reduce latency and improve the efficiency of chat interactions and related computations.