Generative AI Developer - Data Modeling

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