Conversational AI Engineer, System Prompt and Orchestration

Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection. Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.

We're looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences. 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.

What you'll do:

• Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows
• EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely 'Known' personality
• Conversational Intelligence: Designing advanced prompt chains and fallback logic
• Agentic Workflow Design: Implementing prompt-driven logic for multi-agent frameworks where system instructions act as the routing engine between user, external APIs, and internal matchmaking engine
• Evals for Conversational Quality: Developing custom evaluation frameworks

Requirements:

• 2-3 Years in Conversational AI/NLP with production LLM applications
• Deep familiarity with state-of-the-art prompt engineering techniques (Few-Shot, Chain-of-Thought, ReAct)
• Agentic & RAG Architectures: Experience with LangGraph, LlamaIndex, or Haystack
• Production Hardened: Optimized prompt systems for scale, API cost, speed; prompt version control, programmatic prompt optimization (DSPy)
• CI/CD pipelines for AI evaluations

Backed by Forerunner Ventures, NFX and PearVC.

Location: San Francisco, CA (in-person, full-time).