Prompt Engineer / Conversation Designer vacancy

AI overview

Design end-to-end voice interview flows and create intelligent interactions with candidates, significantly enhancing recruitment quality through AI technology.

We’re building a voice-based AI recruiter that conducts candidate pre-screening interviews directly on our website. The agent asks questions, listens, follows up, and produces structured summaries recruiters can actually use.

We’re looking for a Prompt / Conversation Designer to own how this AI agent interviews candidates — how it asks, listens, reasons, and evaluates.

This role is about designing conversations that work with real people, not writing one-off prompts.


What you’ll do: 

  • Design end-to-end voice interview flows (intro → screening → follow-ups → wrap-up)
  • Create branching logic based on candidate responses
  • Write prompts that guide questioning, listening, and evaluation
  • Define soft-skill scoring (communication, clarity, confidence, coherence)
  • Turn free-form answers into structured outputs (scores, summaries, flags)
  • Handle real-world edge cases: silence, interruptions, unclear answers
  • Test conversations and iterate based on real transcripts and feedback

What we’re looking for:

  • Hands-on experience with LLM prompt engineering
  • Experience designing chat or voice conversations
  • Strong logical thinking and ability to structure decision flows
  • Excellent written English and attention to nuance
  • Comfort working closely with engineers and recruiters

Nice to have:

  • Recruiting, HR tech, or assessment experience
  • Voiceflow or similar conversational AI tools
  • Voice UX experience (not just text bots)

What success looks like:

  • Candidates understand the questions without confusion
  • Conversations feel natural, not robotic
  • Recruiters trust the summaries and scores
  • The AI asks smart follow-ups instead of rigid scripts
  • Drop-offs decrease over time

How this role works:

  • You’ll work closely with:
    • Integration / Backend Engineers
    • Recruiters & hiring managers
    • Product leadership
  • Small team, fast iteration, real production use cases.
  • High ownership: you own how the AI interviews and directly impact product quality
  • Impact is directly visible in candidate and recruiter experience

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