Prompt Engineer / Conversation Designer vacancy
Confidential
Posted: January 30, 2026
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Quick Summary
Design end-to-end voice interview flows for a voice-based AI recruiter that conducts candidate pre-screening interviews directly on our website.
Required Skills
Job Description
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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