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Prompt Engineer (Healthcare)

Talkie.aiPolskaPolska

Źródło:RocketJobs
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano12 października 2026
Wykryte przez nas
Wykryte przez nas13 października 2026
Zarobki
Zarobki10 000 - 14 000 PLN

Talkie.ai is building advanced AI Agents for the healthcare sector, handling patient-clinic communication across voice, web chat, and SMS. We are looking for a dedicated Prompt Engineer to own the quality and intelligence of our AI Agents, ensuring they provide reliable and natural interactions for patients in the US market.

Key responsibilities

  • Design, write, and continuously optimize prompts to ensure our AI Agents are accurate, natural, and reliable.
  • Analyze real patient-agent conversations to identify failure patterns and implement technical improvements.
  • Develop and run evaluation frameworks to test agent performance before and after updates.
  • Collaborate with product, engineering, and client teams to tailor agent behavior to specific clinical workflows.
  • Stay updated on the latest LLM developments and integrate new techniques into our production systems.

Requirements

  • Hands-on experience writing and iterating on prompts for production-grade LLM systems.
  • Strong analytical skills with the ability to extract actionable insights from conversation data.
  • Excellent communication skills, with the ability to work effectively across technical and non-technical teams.
  • A zero-error mindset, recognizing the responsibility of working with real patient interactions.
  • Availability to work 12:00–20:00 CET for at least 3 days per week to overlap with US business hours.
  • C1+ proficiency in English.

What we offer

  • A role with real purpose, directly impacting how patients access healthcare.
  • Competitive compensation with a choice of employment or B2B contract.
  • Comprehensive work equipment including a Mac laptop and necessary home office accessories.
  • Access to private medical care, a sports card, and a dedicated training budget.
  • A collaborative culture built on mutual trust, autonomy, and continuous learning.

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