Known
Conversational AI Engineer, System Prompt
San Francisco, CA
Sponsorship not specifiedDetected 136 days ago
ReactCI/CDMachine LearningNLPLLMsRAGLangGraph
About the role
- This is a unique opportunity to work with a hyper-personalized data-set, combining voice transcripts, images, and structured user data to empower real-time, personalized AI voice-led conversations at scale.
- You'll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
Responsibilities
- EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality.
- You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
- Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
- Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.
- Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality.
Requirements
- 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
Company info
- We're looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences.
This listing is sourced directly from Known's careers page and normalized into a canonical job model.