● Extend the multi-turn conversation engine: manage intent routing, context preservation,
streaming responses, and human handoff across channel integrations.
● Build and optimize the RAG pipeline: embeddings, semantic retrieval, hybrid ranking, and evidence-based answer construction to reduce hallucinations.
● Architect and implement the visual workflow/prompt builder experience (React) for designing branching conversational flows and tool integrations.
● Integrate with LLM providers through a unified abstraction layer and build specialized prompt strategies for tasks like clarification and validation.
● Create data visualization and analytics surfaces to help customers monitor intent performance and AI impact.
● Maintain high quality via testing, observability, and performance improvements across frontend and backend.