Zime AI is building an AI-native behaviour and revenue intelligence platform powering real-time sales playbooks, conversation intelligence, and workflow automation used by revenue teams at scale.
Tasks
- Design, build, and own GenAI features for sales intelligence products (AMA, AI Playbook Automation)
- Develop and optimize prompt templates and chains for LLM applications, ensuring high-quality, reliable
- outputs
- Implement RAG (Retrieval Augmented Generation) pipelines with vector search and semantic retrieval
- Build and maintain integrations with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks
- Own AI system performance monitoring using observability tools (Langfuse, etc.)
- Collaborate on system architecture decisions and technical tradeoffs for AI features
- Deploy and maintain AI services in production (Kubernetes, FastAPI backends)